Overview

Dataset statistics

Number of variables217
Number of observations2000
Missing cells0
Missing cells (%)0.0%
Total size in memory3.3 MiB
Average record size in memory1.7 KiB

Variable types

Numeric217

Alerts

feature_6 has 40 (2.0%) zeros Zeros
feature_8 has 23 (1.1%) zeros Zeros
feature_32 has 25 (1.2%) zeros Zeros
feature_33 has 35 (1.8%) zeros Zeros
feature_34 has 49 (2.5%) zeros Zeros
feature_35 has 77 (3.9%) zeros Zeros
feature_44 has 26 (1.3%) zeros Zeros
feature_45 has 63 (3.1%) zeros Zeros
feature_46 has 82 (4.1%) zeros Zeros
feature_47 has 91 (4.5%) zeros Zeros
feature_54 has 25 (1.2%) zeros Zeros
feature_56 has 25 (1.2%) zeros Zeros
feature_57 has 44 (2.2%) zeros Zeros
feature_58 has 51 (2.5%) zeros Zeros
feature_66 has 45 (2.2%) zeros Zeros
feature_69 has 25 (1.2%) zeros Zeros
feature_71 has 89 (4.5%) zeros Zeros
feature_80 has 30 (1.5%) zeros Zeros
feature_81 has 58 (2.9%) zeros Zeros
feature_83 has 35 (1.8%) zeros Zeros
feature_105 has 107 (5.3%) zeros Zeros
feature_106 has 36 (1.8%) zeros Zeros
feature_114 has 25 (1.2%) zeros Zeros
feature_118 has 72 (3.6%) zeros Zeros
feature_119 has 160 (8.0%) zeros Zeros
feature_126 has 32 (1.6%) zeros Zeros
feature_131 has 31 (1.6%) zeros Zeros
feature_143 has 128 (6.4%) zeros Zeros
feature_153 has 86 (4.3%) zeros Zeros
feature_165 has 60 (3.0%) zeros Zeros
feature_166 has 49 (2.5%) zeros Zeros
feature_176 has 24 (1.2%) zeros Zeros
feature_178 has 49 (2.5%) zeros Zeros
feature_179 has 55 (2.8%) zeros Zeros
feature_186 has 32 (1.6%) zeros Zeros
feature_191 has 102 (5.1%) zeros Zeros
feature_201 has 41 (2.1%) zeros Zeros
feature_label has 200 (10.0%) zeros Zeros

Reproduction

Analysis started2023-11-07 02:15:42.291588
Analysis finished2023-11-07 02:15:46.670741
Duration4.38 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

feature_0
Real number (ℝ≥0)

Distinct390
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.0515
Minimum67
Maximum515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:47.139396image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile114
Q1208
median274.5
Q3338
95-th percentile421
Maximum515
Range448
Interquartile range (IQR)130

Descriptive statistics

Standard deviation91.27545372
Coefficient of variation (CV)0.3355079965
Kurtosis-0.6347610899
Mean272.0515
Median Absolute Deviation (MAD)64.5
Skewness-0.07914896532
Sum544103
Variance8331.208452
MonotonicityNot monotonic
2023-11-06T23:15:47.422737image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25717
 
0.9%
27416
 
0.8%
30914
 
0.7%
28714
 
0.7%
33913
 
0.7%
27313
 
0.7%
26213
 
0.7%
24313
 
0.7%
23513
 
0.7%
26912
 
0.6%
Other values (380)1862
93.1%
ValueCountFrequency (%)
671
0.1%
701
0.1%
711
0.1%
721
0.1%
751
0.1%
ValueCountFrequency (%)
5151
0.1%
5131
0.1%
4951
0.1%
4911
0.1%
4811
0.1%

feature_1
Real number (ℝ≥0)

Distinct446
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322.7255
Minimum81
Maximum565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:47.755533image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile138
Q1247
median324
Q3406
95-th percentile494
Maximum565
Range484
Interquartile range (IQR)159

Descriptive statistics

Standard deviation109.4265884
Coefficient of variation (CV)0.3390701644
Kurtosis-0.8110026049
Mean322.7255
Median Absolute Deviation (MAD)80
Skewness-0.1122757406
Sum645451
Variance11974.17824
MonotonicityNot monotonic
2023-11-06T23:15:48.155688image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36316
 
0.8%
32215
 
0.8%
38013
 
0.7%
29212
 
0.6%
37212
 
0.6%
37911
 
0.5%
26911
 
0.5%
28711
 
0.5%
38711
 
0.5%
28611
 
0.5%
Other values (436)1877
93.8%
ValueCountFrequency (%)
811
0.1%
821
0.1%
861
0.1%
891
0.1%
911
0.1%
ValueCountFrequency (%)
5651
0.1%
5641
0.1%
5591
0.1%
5571
0.1%
5542
0.1%

feature_2
Real number (ℝ≥0)

Distinct541
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774.8245
Minimum500
Maximum1264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:48.673069image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile574
Q1656.75
median766
Q3879
95-th percentile1011.05
Maximum1264
Range764
Interquartile range (IQR)222.25

Descriptive statistics

Standard deviation140.1415696
Coefficient of variation (CV)0.1808687898
Kurtosis-0.5472612772
Mean774.8245
Median Absolute Deviation (MAD)111
Skewness0.3560506834
Sum1549649
Variance19639.65953
MonotonicityNot monotonic
2023-11-06T23:15:48.956252image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85513
 
0.7%
76211
 
0.5%
62811
 
0.5%
90210
 
0.5%
59810
 
0.5%
85310
 
0.5%
64510
 
0.5%
64110
 
0.5%
72110
 
0.5%
7229
 
0.4%
Other values (531)1896
94.8%
ValueCountFrequency (%)
5001
0.1%
5061
0.1%
5111
0.1%
5152
0.1%
5201
0.1%
ValueCountFrequency (%)
12641
0.1%
12211
0.1%
12041
0.1%
12011
0.1%
11941
0.1%

feature_3
Real number (ℝ≥0)

Distinct440
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean754.339
Minimum543
Maximum1134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:49.239856image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum543
5-th percentile605
Q1667
median736
Q3830
95-th percentile952
Maximum1134
Range591
Interquartile range (IQR)163

Descriptive statistics

Standard deviation109.1737676
Coefficient of variation (CV)0.1447277253
Kurtosis-0.4423764248
Mean754.339
Median Absolute Deviation (MAD)80
Skewness0.500027228
Sum1508678
Variance11918.91153
MonotonicityNot monotonic
2023-11-06T23:15:49.654016image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65316
 
0.8%
70015
 
0.8%
72714
 
0.7%
76514
 
0.7%
73613
 
0.7%
70113
 
0.7%
64312
 
0.6%
64712
 
0.6%
65011
 
0.5%
63611
 
0.5%
Other values (430)1869
93.5%
ValueCountFrequency (%)
5431
 
0.1%
5451
 
0.1%
5551
 
0.1%
5571
 
0.1%
5584
0.2%
ValueCountFrequency (%)
11341
0.1%
11031
0.1%
10991
0.1%
10781
0.1%
10731
0.1%

feature_4
Real number (ℝ≥0)

Distinct252
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean640.4605
Minimum437
Maximum823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:49.939430image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum437
5-th percentile570
Q1607
median636.5
Q3667
95-th percentile730
Maximum823
Range386
Interquartile range (IQR)60

Descriptive statistics

Standard deviation48.94011654
Coefficient of variation (CV)0.07641394987
Kurtosis0.8963568177
Mean640.4605
Median Absolute Deviation (MAD)29.5
Skewness0.5778602885
Sum1280921
Variance2395.135007
MonotonicityNot monotonic
2023-11-06T23:15:50.220765image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65226
 
1.3%
63224
 
1.2%
63724
 
1.2%
62223
 
1.1%
61422
 
1.1%
65422
 
1.1%
67622
 
1.1%
63821
 
1.1%
62921
 
1.1%
62621
 
1.1%
Other values (242)1774
88.7%
ValueCountFrequency (%)
4371
0.1%
4641
0.1%
4801
0.1%
4921
0.1%
5261
0.1%
ValueCountFrequency (%)
8231
0.1%
8191
0.1%
8141
0.1%
8112
0.1%
8071
0.1%

feature_5
Real number (ℝ≥0)

Distinct419
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean684.472
Minimum439
Maximum1047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:50.524289image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum439
5-th percentile545
Q1642
median676
Q3716
95-th percentile860.05
Maximum1047
Range608
Interquartile range (IQR)74

Descriptive statistics

Standard deviation85.07886002
Coefficient of variation (CV)0.124298525
Kurtosis1.543515586
Mean684.472
Median Absolute Deviation (MAD)37
Skewness0.6762096153
Sum1368944
Variance7238.412422
MonotonicityNot monotonic
2023-11-06T23:15:50.786727image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68228
 
1.4%
67326
 
1.3%
65620
 
1.0%
65720
 
1.0%
66720
 
1.0%
68120
 
1.0%
65819
 
0.9%
68419
 
0.9%
67918
 
0.9%
70018
 
0.9%
Other values (409)1792
89.6%
ValueCountFrequency (%)
4391
0.1%
4541
0.1%
4591
0.1%
4611
0.1%
4671
0.1%
ValueCountFrequency (%)
10471
0.1%
10121
0.1%
10061
0.1%
9861
0.1%
9831
0.1%

feature_6
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.45
Minimum0
Maximum42
Zeros40
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:51.089287image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median20
Q329
95-th percentile37
Maximum42
Range42
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.35156064
Coefficient of variation (CV)0.5836277964
Kurtosis-1.131625754
Mean19.45
Median Absolute Deviation (MAD)9
Skewness-0.1112491061
Sum38900
Variance128.857929
MonotonicityNot monotonic
2023-11-06T23:15:51.355352image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
289
 
4.5%
2475
 
3.8%
3673
 
3.6%
2869
 
3.5%
166
 
3.3%
365
 
3.2%
2065
 
3.2%
2763
 
3.1%
2359
 
2.9%
1757
 
2.9%
Other values (33)1319
66.0%
ValueCountFrequency (%)
040
2.0%
166
3.3%
289
4.5%
365
3.2%
450
2.5%
ValueCountFrequency (%)
421
 
0.1%
411
 
0.1%
408
 
0.4%
398
 
0.4%
3838
1.9%

feature_7
Real number (ℝ≥0)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.373
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:51.676411image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q113
median18
Q324
95-th percentile31
Maximum39
Range38
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.351795389
Coefficient of variation (CV)0.4001412611
Kurtosis-0.6180818613
Mean18.373
Median Absolute Deviation (MAD)5
Skewness0.1266951235
Sum36746
Variance54.04889545
MonotonicityNot monotonic
2023-11-06T23:15:51.956372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
15134
 
6.7%
17121
 
6.0%
19115
 
5.8%
16111
 
5.5%
14110
 
5.5%
1391
 
4.5%
2088
 
4.4%
1886
 
4.3%
2185
 
4.2%
2981
 
4.0%
Other values (29)978
48.9%
ValueCountFrequency (%)
11
 
0.1%
24
 
0.2%
318
0.9%
413
0.7%
527
1.4%
ValueCountFrequency (%)
391
 
0.1%
382
0.1%
371
 
0.1%
363
0.1%
354
0.2%

feature_8
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.359
Minimum0
Maximum39
Zeros23
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:52.310137image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median15
Q322
95-th percentile31
Maximum39
Range39
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.887216117
Coefficient of variation (CV)0.5786324706
Kurtosis-0.7398919702
Mean15.359
Median Absolute Deviation (MAD)7
Skewness0.2381253341
Sum30718
Variance78.98261031
MonotonicityNot monotonic
2023-11-06T23:15:52.570844image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2087
 
4.3%
985
 
4.2%
1485
 
4.2%
784
 
4.2%
1780
 
4.0%
1577
 
3.9%
1677
 
3.9%
1977
 
3.9%
376
 
3.8%
2275
 
3.8%
Other values (30)1197
59.9%
ValueCountFrequency (%)
023
 
1.1%
160
3.0%
264
3.2%
376
3.8%
441
2.1%
ValueCountFrequency (%)
391
 
0.1%
382
 
0.1%
375
0.2%
364
0.2%
359
0.4%

feature_9
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.054
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:52.955377image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.084412468
Coefficient of variation (CV)0.4511169062
Kurtosis-0.9843901956
Mean9.054
Median Absolute Deviation (MAD)3
Skewness-0.1765742586
Sum18108
Variance16.68242521
MonotonicityNot monotonic
2023-11-06T23:15:53.218903image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11247
12.3%
10229
11.5%
12177
 
8.8%
4152
 
7.6%
3134
 
6.7%
9133
 
6.7%
5133
 
6.7%
13124
 
6.2%
14116
 
5.8%
6101
 
5.1%
Other values (8)454
22.7%
ValueCountFrequency (%)
06
 
0.3%
128
 
1.4%
267
3.4%
3134
6.7%
4152
7.6%
ValueCountFrequency (%)
1718
 
0.9%
1673
3.6%
1590
4.5%
14116
5.8%
13124
6.2%

feature_10
Real number (ℝ≥0)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4295
Minimum0
Maximum18
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:53.523899image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median10
Q312
95-th percentile16
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.975164238
Coefficient of variation (CV)0.4215668103
Kurtosis-0.6212411805
Mean9.4295
Median Absolute Deviation (MAD)3
Skewness-0.280660629
Sum18859
Variance15.80193072
MonotonicityNot monotonic
2023-11-06T23:15:53.739334image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10253
12.7%
9224
11.2%
11220
11.0%
8150
 
7.5%
13145
 
7.2%
12144
 
7.2%
3125
 
6.2%
14117
 
5.9%
1597
 
4.9%
589
 
4.5%
Other values (9)436
21.8%
ValueCountFrequency (%)
04
 
0.2%
133
 
1.7%
273
3.6%
3125
6.2%
471
3.5%
ValueCountFrequency (%)
187
 
0.4%
1729
 
1.5%
1671
3.5%
1597
4.9%
14117
5.9%

feature_11
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4465
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:53.974049image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.829029705
Coefficient of variation (CV)0.405338454
Kurtosis-0.5552679814
Mean9.4465
Median Absolute Deviation (MAD)2
Skewness-0.2513732643
Sum18893
Variance14.66146848
MonotonicityNot monotonic
2023-11-06T23:15:54.253450image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11294
14.7%
10247
12.3%
12204
10.2%
9188
9.4%
13132
 
6.6%
5130
 
6.5%
8126
 
6.3%
4117
 
5.9%
14100
 
5.0%
394
 
4.7%
Other values (8)368
18.4%
ValueCountFrequency (%)
122
 
1.1%
260
3.0%
394
4.7%
4117
5.9%
5130
6.5%
ValueCountFrequency (%)
1814
 
0.7%
1744
2.2%
1639
 
1.9%
1563
3.1%
14100
5.0%

feature_12
Real number (ℝ≥0)

Distinct336
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.4065
Minimum94
Maximum494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:54.566000image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum94
5-th percentile168
Q1225
median291.5
Q3356
95-th percentile415
Maximum494
Range400
Interquartile range (IQR)131

Descriptive statistics

Standard deviation79.09785391
Coefficient of variation (CV)0.2714347618
Kurtosis-0.9163806612
Mean291.4065
Median Absolute Deviation (MAD)65.5
Skewness0.0246351502
Sum582813
Variance6256.470493
MonotonicityNot monotonic
2023-11-06T23:15:54.928974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34220
 
1.0%
22319
 
0.9%
32015
 
0.8%
26013
 
0.7%
23813
 
0.7%
33913
 
0.7%
32613
 
0.7%
18413
 
0.7%
36413
 
0.7%
26812
 
0.6%
Other values (326)1856
92.8%
ValueCountFrequency (%)
941
0.1%
1001
0.1%
1041
0.1%
1161
0.1%
1171
0.1%
ValueCountFrequency (%)
4941
0.1%
4921
0.1%
4731
0.1%
4711
0.1%
4681
0.1%

feature_13
Real number (ℝ≥0)

Distinct420
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313.0605
Minimum96
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:55.307013image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile171
Q1243
median307
Q3374
95-th percentile481.05
Maximum648
Range552
Interquartile range (IQR)131

Descriptive statistics

Standard deviation95.38429075
Coefficient of variation (CV)0.3046832505
Kurtosis-0.08477603922
Mean313.0605
Median Absolute Deviation (MAD)66
Skewness0.4147542888
Sum626121
Variance9098.162921
MonotonicityNot monotonic
2023-11-06T23:15:55.587359image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25018
 
0.9%
24815
 
0.8%
33714
 
0.7%
34814
 
0.7%
29414
 
0.7%
22013
 
0.7%
25112
 
0.6%
34612
 
0.6%
30112
 
0.6%
31912
 
0.6%
Other values (410)1864
93.2%
ValueCountFrequency (%)
961
0.1%
991
0.1%
1041
0.1%
1051
0.1%
1111
0.1%
ValueCountFrequency (%)
6481
0.1%
6261
0.1%
6201
0.1%
6131
0.1%
6122
0.1%

feature_14
Real number (ℝ≥0)

Distinct421
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.2195
Minimum422
Maximum1060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:55.929653image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum422
5-th percentile512
Q1584
median649
Q3712
95-th percentile825.05
Maximum1060
Range638
Interquartile range (IQR)128

Descriptive statistics

Standard deviation96.33885461
Coefficient of variation (CV)0.1472576935
Kurtosis0.3474113568
Mean654.2195
Median Absolute Deviation (MAD)64
Skewness0.5652017993
Sum1308439
Variance9281.174907
MonotonicityNot monotonic
2023-11-06T23:15:56.380596image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67916
 
0.8%
62215
 
0.8%
63514
 
0.7%
65114
 
0.7%
65614
 
0.7%
63214
 
0.7%
55913
 
0.7%
60213
 
0.7%
62813
 
0.7%
70513
 
0.7%
Other values (411)1861
93.0%
ValueCountFrequency (%)
4221
0.1%
4281
0.1%
4541
0.1%
4551
0.1%
4561
0.1%
ValueCountFrequency (%)
10601
0.1%
10341
0.1%
10161
0.1%
10131
0.1%
10061
0.1%

feature_15
Real number (ℝ≥0)

Distinct351
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671.949
Minimum527
Maximum987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:56.756649image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile568.95
Q1610
median652
Q3723
95-th percentile831
Maximum987
Range460
Interquartile range (IQR)113

Descriptive statistics

Standard deviation81.93596982
Coefficient of variation (CV)0.1219377807
Kurtosis0.1541791891
Mean671.949
Median Absolute Deviation (MAD)51
Skewness0.8356626585
Sum1343898
Variance6713.503151
MonotonicityNot monotonic
2023-11-06T23:15:57.037417image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63723
 
1.1%
62919
 
0.9%
64818
 
0.9%
60117
 
0.9%
59317
 
0.9%
65216
 
0.8%
60416
 
0.8%
62516
 
0.8%
62616
 
0.8%
65116
 
0.8%
Other values (341)1826
91.3%
ValueCountFrequency (%)
5272
0.1%
5311
0.1%
5341
0.1%
5361
0.1%
5371
0.1%
ValueCountFrequency (%)
9871
0.1%
9521
0.1%
9501
0.1%
9422
0.1%
9381
0.1%

feature_16
Real number (ℝ≥0)

Distinct257
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean658.4005
Minimum429
Maximum842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:57.389328image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum429
5-th percentile581
Q1625.75
median660
Q3690
95-th percentile735
Maximum842
Range413
Interquartile range (IQR)64.25

Descriptive statistics

Standard deviation48.65800963
Coefficient of variation (CV)0.07390336068
Kurtosis0.7666328888
Mean658.4005
Median Absolute Deviation (MAD)32
Skewness-0.04438129089
Sum1316801
Variance2367.601901
MonotonicityNot monotonic
2023-11-06T23:15:57.654733image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66928
 
1.4%
66126
 
1.3%
67725
 
1.2%
62924
 
1.2%
66423
 
1.1%
60723
 
1.1%
67223
 
1.1%
66323
 
1.1%
68221
 
1.1%
62521
 
1.1%
Other values (247)1763
88.1%
ValueCountFrequency (%)
4291
0.1%
4611
0.1%
4751
0.1%
4831
0.1%
4881
0.1%
ValueCountFrequency (%)
8421
0.1%
8331
0.1%
8321
0.1%
8271
0.1%
8101
0.1%

feature_17
Real number (ℝ≥0)

Distinct405
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.475
Minimum587
Maximum1146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:58.009458image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum587
5-th percentile745.95
Q1877
median968
Q31019
95-th percentile1065
Maximum1146
Range559
Interquartile range (IQR)142

Descriptive statistics

Standard deviation99.90084316
Coefficient of variation (CV)0.1061109888
Kurtosis-0.0821173824
Mean941.475
Median Absolute Deviation (MAD)62
Skewness-0.811859522
Sum1882950
Variance9980.178464
MonotonicityNot monotonic
2023-11-06T23:15:58.333018image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100320
 
1.0%
99518
 
0.9%
103616
 
0.8%
102115
 
0.8%
101415
 
0.8%
99115
 
0.8%
102715
 
0.8%
99315
 
0.8%
104214
 
0.7%
101014
 
0.7%
Other values (395)1843
92.2%
ValueCountFrequency (%)
5871
0.1%
5881
0.1%
6311
0.1%
6412
0.1%
6441
0.1%
ValueCountFrequency (%)
11461
0.1%
11171
0.1%
11011
0.1%
10962
0.1%
10941
0.1%

feature_18
Real number (ℝ≥0)

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.862
Minimum0
Maximum41
Zeros20
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:58.704984image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median18
Q326
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.15522133
Coefficient of variation (CV)0.5685377522
Kurtosis-1.025614597
Mean17.862
Median Absolute Deviation (MAD)8
Skewness0.008719796666
Sum35724
Variance103.1285203
MonotonicityNot monotonic
2023-11-06T23:15:58.955749image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1997
 
4.9%
3181
 
4.0%
2381
 
4.0%
2078
 
3.9%
375
 
3.8%
1771
 
3.5%
768
 
3.4%
1668
 
3.4%
1566
 
3.3%
2163
 
3.1%
Other values (32)1252
62.6%
ValueCountFrequency (%)
020
 
1.0%
158
2.9%
251
2.5%
375
3.8%
450
2.5%
ValueCountFrequency (%)
412
 
0.1%
402
 
0.1%
3910
0.5%
3812
0.6%
379
0.4%

feature_19
Real number (ℝ≥0)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.901
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:59.260758image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q119
median24
Q329
95-th percentile36
Maximum43
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.37769708
Coefficient of variation (CV)0.308677339
Kurtosis-0.4016697246
Mean23.901
Median Absolute Deviation (MAD)5
Skewness-0.09776387771
Sum47802
Variance54.43041421
MonotonicityNot monotonic
2023-11-06T23:15:59.587687image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
24141
 
7.0%
23118
 
5.9%
22107
 
5.3%
21100
 
5.0%
2896
 
4.8%
2595
 
4.8%
3093
 
4.7%
2092
 
4.6%
2689
 
4.5%
2983
 
4.2%
Other values (31)986
49.3%
ValueCountFrequency (%)
12
 
0.1%
32
 
0.1%
51
 
0.1%
66
0.3%
78
0.4%
ValueCountFrequency (%)
431
 
0.1%
421
 
0.1%
419
0.4%
4012
0.6%
3915
0.8%

feature_20
Real number (ℝ≥0)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.969
Minimum0
Maximum40
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:15:59.970961image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q116
median21
Q327
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.940564544
Coefficient of variation (CV)0.3614440596
Kurtosis-0.4674649846
Mean21.969
Median Absolute Deviation (MAD)5
Skewness0.2574720328
Sum43938
Variance63.05256528
MonotonicityNot monotonic
2023-11-06T23:16:00.308591image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
21114
 
5.7%
23105
 
5.2%
24103
 
5.1%
22100
 
5.0%
1694
 
4.7%
1893
 
4.7%
1993
 
4.7%
1788
 
4.4%
2583
 
4.2%
1481
 
4.0%
Other values (31)1046
52.3%
ValueCountFrequency (%)
01
0.1%
12
0.1%
22
0.1%
32
0.1%
42
0.1%
ValueCountFrequency (%)
4019
0.9%
3925
1.2%
3841
2.1%
3725
1.2%
3624
1.2%

feature_21
Real number (ℝ≥0)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.378
Minimum0
Maximum24
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:00.620281image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q313
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.030583404
Coefficient of variation (CV)0.4847353444
Kurtosis-0.4459079812
Mean10.378
Median Absolute Deviation (MAD)3
Skewness-0.04430203212
Sum20756
Variance25.30676938
MonotonicityNot monotonic
2023-11-06T23:16:00.854236image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
12253
12.7%
11208
 
10.4%
13202
 
10.1%
14130
 
6.5%
10123
 
6.2%
4110
 
5.5%
3102
 
5.1%
9102
 
5.1%
287
 
4.3%
1584
 
4.2%
Other values (15)599
29.9%
ValueCountFrequency (%)
011
 
0.5%
155
2.8%
287
4.3%
3102
5.1%
4110
5.5%
ValueCountFrequency (%)
241
 
0.1%
237
 
0.4%
2224
1.2%
2127
1.4%
2026
1.3%

feature_22
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5885
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:01.071035image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.618109051
Coefficient of variation (CV)0.3773383794
Kurtosis-0.6989473143
Mean9.5885
Median Absolute Deviation (MAD)3
Skewness-0.2639400912
Sum19177
Variance13.09071311
MonotonicityNot monotonic
2023-11-06T23:16:01.269790image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9232
11.6%
12216
10.8%
11200
10.0%
10178
8.9%
13173
8.6%
14170
8.5%
8155
7.8%
7117
 
5.9%
4117
 
5.9%
5116
 
5.8%
Other values (8)326
16.3%
ValueCountFrequency (%)
110
 
0.5%
228
 
1.4%
385
4.2%
4117
5.9%
5116
5.8%
ValueCountFrequency (%)
1810
 
0.5%
1711
 
0.5%
1629
 
1.5%
1579
4.0%
14170
8.5%

feature_23
Real number (ℝ≥0)

Distinct21
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.6345
Minimum0
Maximum20
Zeros5
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:01.513827image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median11
Q314
95-th percentile19
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.13248696
Coefficient of variation (CV)0.3551924844
Kurtosis-0.3050318253
Mean11.6345
Median Absolute Deviation (MAD)2
Skewness0.1600815308
Sum23269
Variance17.07744847
MonotonicityNot monotonic
2023-11-06T23:16:01.771290image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
11258
12.9%
10248
12.4%
12216
10.8%
9188
9.4%
13137
 
6.9%
19129
 
6.5%
8127
 
6.3%
790
 
4.5%
1782
 
4.1%
1879
 
4.0%
Other values (11)446
22.3%
ValueCountFrequency (%)
05
 
0.2%
17
 
0.4%
215
0.8%
320
1.0%
423
1.1%
ValueCountFrequency (%)
2045
 
2.2%
19129
6.5%
1879
4.0%
1782
4.1%
1672
3.6%

feature_24
Real number (ℝ≥0)

Distinct302
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281.4805
Minimum58
Maximum470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:02.085219image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile176
Q1243
median285
Q3325
95-th percentile375
Maximum470
Range412
Interquartile range (IQR)82

Descriptive statistics

Standard deviation60.66673591
Coefficient of variation (CV)0.2155273133
Kurtosis0.002271998545
Mean281.4805
Median Absolute Deviation (MAD)41
Skewness-0.2504436083
Sum562961
Variance3680.452846
MonotonicityNot monotonic
2023-11-06T23:16:02.337314image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32618
 
0.9%
32718
 
0.9%
32918
 
0.9%
28818
 
0.9%
26118
 
0.9%
24717
 
0.9%
24817
 
0.9%
31917
 
0.9%
30817
 
0.9%
28616
 
0.8%
Other values (292)1826
91.3%
ValueCountFrequency (%)
581
0.1%
821
0.1%
1001
0.1%
1021
0.1%
1041
0.1%
ValueCountFrequency (%)
4701
0.1%
4661
0.1%
4521
0.1%
4441
0.1%
4391
0.1%

feature_25
Real number (ℝ≥0)

Distinct439
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.3315
Minimum84
Maximum603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:02.704215image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum84
5-th percentile135
Q1205
median277
Q3374
95-th percentile481.05
Maximum603
Range519
Interquartile range (IQR)169

Descriptive statistics

Standard deviation108.1693391
Coefficient of variation (CV)0.371292974
Kurtosis-0.7707074516
Mean291.3315
Median Absolute Deviation (MAD)82
Skewness0.3266190931
Sum582663
Variance11700.60591
MonotonicityNot monotonic
2023-11-06T23:16:03.120362image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24615
 
0.8%
23414
 
0.7%
25813
 
0.7%
17812
 
0.6%
26912
 
0.6%
22812
 
0.6%
24711
 
0.5%
29411
 
0.5%
26511
 
0.5%
15711
 
0.5%
Other values (429)1878
93.9%
ValueCountFrequency (%)
841
0.1%
851
0.1%
861
0.1%
881
0.1%
891
0.1%
ValueCountFrequency (%)
6031
0.1%
5741
0.1%
5731
0.1%
5661
0.1%
5641
0.1%

feature_26
Real number (ℝ≥0)

Distinct323
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.8535
Minimum574
Maximum1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:03.437212image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum574
5-th percentile637.95
Q1678.75
median715
Q3778.25
95-th percentile862
Maximum1024
Range450
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation71.47722389
Coefficient of variation (CV)0.0977996601
Kurtosis0.2164737445
Mean730.8535
Median Absolute Deviation (MAD)46
Skewness0.7504286339
Sum1461707
Variance5108.993535
MonotonicityNot monotonic
2023-11-06T23:16:03.727538image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66320
 
1.0%
68620
 
1.0%
69119
 
0.9%
65919
 
0.9%
68418
 
0.9%
70318
 
0.9%
68518
 
0.9%
68017
 
0.9%
69217
 
0.9%
71517
 
0.9%
Other values (313)1817
90.8%
ValueCountFrequency (%)
5741
0.1%
5821
0.1%
5841
0.1%
5871
0.1%
5891
0.1%
ValueCountFrequency (%)
10241
0.1%
10011
0.1%
9891
0.1%
9771
0.1%
9741
0.1%

feature_27
Real number (ℝ≥0)

Distinct323
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean648.523
Minimum436
Maximum992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:04.045732image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum436
5-th percentile548
Q1594
median639
Q3695
95-th percentile779.05
Maximum992
Range556
Interquartile range (IQR)101

Descriptive statistics

Standard deviation72.18262004
Coefficient of variation (CV)0.1113030996
Kurtosis0.239900792
Mean648.523
Median Absolute Deviation (MAD)50
Skewness0.5912374314
Sum1297046
Variance5210.330636
MonotonicityNot monotonic
2023-11-06T23:16:04.337985image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64118
 
0.9%
58618
 
0.9%
65318
 
0.9%
65617
 
0.9%
61916
 
0.8%
62316
 
0.8%
62416
 
0.8%
60616
 
0.8%
62915
 
0.8%
59715
 
0.8%
Other values (313)1835
91.8%
ValueCountFrequency (%)
4361
0.1%
4821
0.1%
4871
0.1%
4891
0.1%
4902
0.1%
ValueCountFrequency (%)
9921
 
0.1%
9061
 
0.1%
8791
 
0.1%
8771
 
0.1%
8753
0.1%

feature_28
Real number (ℝ≥0)

Distinct422
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean963.2675
Minimum634
Maximum1137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:04.603778image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum634
5-th percentile739
Q1903
median996
Q31047
95-th percentile1098
Maximum1137
Range503
Interquartile range (IQR)144

Descriptive statistics

Standard deviation112.4261747
Coefficient of variation (CV)0.1167133478
Kurtosis-0.3673581991
Mean963.2675
Median Absolute Deviation (MAD)64
Skewness-0.8325020194
Sum1926535
Variance12639.64477
MonotonicityNot monotonic
2023-11-06T23:16:04.954030image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102418
 
0.9%
102218
 
0.9%
104017
 
0.9%
98816
 
0.8%
102316
 
0.8%
103215
 
0.8%
101315
 
0.8%
105414
 
0.7%
99014
 
0.7%
97413
 
0.7%
Other values (412)1844
92.2%
ValueCountFrequency (%)
6341
0.1%
6571
0.1%
6691
0.1%
6711
0.1%
6731
0.1%
ValueCountFrequency (%)
11371
 
0.1%
11331
 
0.1%
11323
0.1%
11291
 
0.1%
11271
 
0.1%

feature_29
Real number (ℝ≥0)

Distinct377
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.114
Minimum474
Maximum1003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:05.357888image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum474
5-th percentile590
Q1686
median738
Q3776
95-th percentile857
Maximum1003
Range529
Interquartile range (IQR)90

Descriptive statistics

Standard deviation77.22689299
Coefficient of variation (CV)0.1057737463
Kurtosis0.6102752967
Mean730.114
Median Absolute Deviation (MAD)42
Skewness-0.2940923563
Sum1460228
Variance5963.993001
MonotonicityNot monotonic
2023-11-06T23:16:05.687087image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74020
 
1.0%
72819
 
0.9%
76319
 
0.9%
75818
 
0.9%
75018
 
0.9%
74517
 
0.9%
75517
 
0.9%
75117
 
0.9%
78417
 
0.9%
73517
 
0.9%
Other values (367)1821
91.0%
ValueCountFrequency (%)
4741
0.1%
4781
0.1%
4861
0.1%
4931
0.1%
4951
0.1%
ValueCountFrequency (%)
10031
0.1%
9921
0.1%
9741
0.1%
9631
0.1%
9491
0.1%

feature_30
Real number (ℝ≥0)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.905
Minimum0
Maximum40
Zeros9
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:05.968865image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median22
Q329
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.159307914
Coefficient of variation (CV)0.4181377728
Kurtosis-0.5328570547
Mean21.905
Median Absolute Deviation (MAD)6
Skewness-0.1615702775
Sum43810
Variance83.89292146
MonotonicityNot monotonic
2023-11-06T23:16:06.319071image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
16113
 
5.7%
1592
 
4.6%
1986
 
4.3%
2286
 
4.3%
2484
 
4.2%
2383
 
4.2%
1782
 
4.1%
2076
 
3.8%
2575
 
3.8%
1875
 
3.8%
Other values (31)1148
57.4%
ValueCountFrequency (%)
09
0.4%
118
0.9%
217
0.9%
319
0.9%
420
1.0%
ValueCountFrequency (%)
407
 
0.4%
3926
1.3%
3836
1.8%
3738
1.9%
3646
2.3%

feature_31
Real number (ℝ≥0)

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.523
Minimum0
Maximum41
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:06.809574image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q117
median21
Q327
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.309321726
Coefficient of variation (CV)0.3396051538
Kurtosis-0.2164894276
Mean21.523
Median Absolute Deviation (MAD)5
Skewness-0.1142398811
Sum43046
Variance53.42618409
MonotonicityNot monotonic
2023-11-06T23:16:07.119685image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20126
 
6.3%
18122
 
6.1%
19108
 
5.4%
22103
 
5.1%
2898
 
4.9%
2196
 
4.8%
1796
 
4.8%
2695
 
4.8%
2994
 
4.7%
2783
 
4.2%
Other values (32)979
48.9%
ValueCountFrequency (%)
02
 
0.1%
13
 
0.1%
22
 
0.1%
313
0.7%
49
0.4%
ValueCountFrequency (%)
412
 
0.1%
405
 
0.2%
396
 
0.3%
3811
0.5%
3715
0.8%

feature_32
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.814
Minimum0
Maximum43
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:07.466635image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median20
Q329
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.18355668
Coefficient of variation (CV)0.564427005
Kurtosis-1.055824262
Mean19.814
Median Absolute Deviation (MAD)9
Skewness0.02645232319
Sum39628
Variance125.07194
MonotonicityNot monotonic
2023-11-06T23:16:07.753306image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2484
 
4.2%
2879
 
4.0%
1171
 
3.5%
1069
 
3.5%
1262
 
3.1%
2960
 
3.0%
2259
 
2.9%
2758
 
2.9%
3057
 
2.9%
2357
 
2.9%
Other values (34)1344
67.2%
ValueCountFrequency (%)
025
1.2%
148
2.4%
252
2.6%
348
2.4%
439
1.9%
ValueCountFrequency (%)
432
 
0.1%
427
 
0.4%
4121
1.1%
4021
1.1%
3937
1.8%

feature_33
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.522
Minimum0
Maximum20
Zeros35
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:08.058986image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q312
95-th percentile16
Maximum20
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.747608439
Coefficient of variation (CV)0.5571002628
Kurtosis-1.150875358
Mean8.522
Median Absolute Deviation (MAD)4
Skewness-0.07960620743
Sum17044
Variance22.53978589
MonotonicityNot monotonic
2023-11-06T23:16:08.454195image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
12205
 
10.2%
11173
 
8.6%
3145
 
7.2%
13135
 
6.8%
4132
 
6.6%
10131
 
6.6%
2127
 
6.3%
1114
 
5.7%
14112
 
5.6%
9104
 
5.2%
Other values (10)622
31.1%
ValueCountFrequency (%)
035
 
1.8%
1114
5.7%
2127
6.3%
3145
7.2%
4132
6.6%
ValueCountFrequency (%)
201
 
0.1%
1816
 
0.8%
1740
2.0%
1655
2.8%
1597
4.9%

feature_34
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1565
Minimum0
Maximum21
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:08.708276image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q313
95-th percentile17
Maximum21
Range21
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.060515009
Coefficient of variation (CV)0.5526691431
Kurtosis-0.7808869853
Mean9.1565
Median Absolute Deviation (MAD)4
Skewness-0.01031425289
Sum18313
Variance25.60881216
MonotonicityNot monotonic
2023-11-06T23:16:08.935579image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11209
 
10.4%
12208
 
10.4%
13157
 
7.8%
10139
 
7.0%
1113
 
5.7%
3113
 
5.7%
4103
 
5.1%
8101
 
5.1%
9100
 
5.0%
297
 
4.9%
Other values (12)660
33.0%
ValueCountFrequency (%)
049
2.5%
1113
5.7%
297
4.9%
3113
5.7%
4103
5.1%
ValueCountFrequency (%)
218
 
0.4%
2027
1.4%
1937
1.8%
1825
 
1.2%
1763
3.1%

feature_35
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1255
Minimum0
Maximum22
Zeros77
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:09.273168image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median9
Q312
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.505534052
Coefficient of variation (CV)0.6775624949
Kurtosis-0.9297696336
Mean8.1255
Median Absolute Deviation (MAD)5
Skewness0.2767801053
Sum16251
Variance30.3109052
MonotonicityNot monotonic
2023-11-06T23:16:09.486441image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11196
 
9.8%
2181
 
9.0%
10181
 
9.0%
3178
 
8.9%
1168
 
8.4%
12166
 
8.3%
4133
 
6.7%
995
 
4.8%
077
 
3.9%
573
 
3.6%
Other values (13)552
27.6%
ValueCountFrequency (%)
077
3.9%
1168
8.4%
2181
9.0%
3178
8.9%
4133
6.7%
ValueCountFrequency (%)
224
 
0.2%
2114
 
0.7%
2022
1.1%
1931
1.6%
1843
2.1%

feature_36
Real number (ℝ≥0)

Distinct402
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.4115
Minimum76
Maximum581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:09.773170image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile167
Q1271
median328
Q3381.25
95-th percentile476
Maximum581
Range505
Interquartile range (IQR)110.25

Descriptive statistics

Standard deviation87.79722857
Coefficient of variation (CV)0.2689771303
Kurtosis-0.05676206533
Mean326.4115
Median Absolute Deviation (MAD)56
Skewness-0.04084404833
Sum652823
Variance7708.353344
MonotonicityNot monotonic
2023-11-06T23:16:10.217318image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32917
 
0.9%
29417
 
0.9%
32716
 
0.8%
36016
 
0.8%
28215
 
0.8%
35315
 
0.8%
33315
 
0.8%
32414
 
0.7%
35614
 
0.7%
35214
 
0.7%
Other values (392)1847
92.3%
ValueCountFrequency (%)
761
0.1%
831
0.1%
901
0.1%
961
0.1%
1021
0.1%
ValueCountFrequency (%)
5811
0.1%
5751
0.1%
5681
0.1%
5601
0.1%
5571
0.1%

feature_37
Real number (ℝ≥0)

Distinct483
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.9235
Minimum66
Maximum655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:10.502891image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile125
Q1197.75
median273
Q3369.25
95-th percentile515
Maximum655
Range589
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation120.4978901
Coefficient of variation (CV)0.4141909818
Kurtosis-0.3876483292
Mean290.9235
Median Absolute Deviation (MAD)85
Skewness0.5423321987
Sum581847
Variance14519.74152
MonotonicityNot monotonic
2023-11-06T23:16:10.957151image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21614
 
0.7%
25512
 
0.6%
27612
 
0.6%
27012
 
0.6%
16612
 
0.6%
22911
 
0.5%
15011
 
0.5%
14211
 
0.5%
29511
 
0.5%
20111
 
0.5%
Other values (473)1883
94.2%
ValueCountFrequency (%)
661
0.1%
711
0.1%
752
0.1%
791
0.1%
801
0.1%
ValueCountFrequency (%)
6551
 
0.1%
6331
 
0.1%
6301
 
0.1%
6201
 
0.1%
6173
0.1%

feature_38
Real number (ℝ≥0)

Distinct468
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean820.9785
Minimum581
Maximum1226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:11.338841image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum581
5-th percentile664.95
Q1729
median808
Q3896
95-th percentile1030
Maximum1226
Range645
Interquartile range (IQR)167

Descriptive statistics

Standard deviation113.6771802
Coefficient of variation (CV)0.1384654777
Kurtosis-0.1315723582
Mean820.9785
Median Absolute Deviation (MAD)82
Skewness0.5506863494
Sum1641957
Variance12922.50129
MonotonicityNot monotonic
2023-11-06T23:16:11.686045image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73616
 
0.8%
70915
 
0.8%
77715
 
0.8%
89012
 
0.6%
71212
 
0.6%
71912
 
0.6%
86011
 
0.5%
84911
 
0.5%
80711
 
0.5%
79211
 
0.5%
Other values (458)1874
93.7%
ValueCountFrequency (%)
5811
0.1%
5851
0.1%
5861
0.1%
5901
0.1%
5952
0.1%
ValueCountFrequency (%)
12261
0.1%
12071
0.1%
12011
0.1%
11931
0.1%
11762
0.1%

feature_39
Real number (ℝ≥0)

Distinct411
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean805.314
Minimum607
Maximum1193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:12.054847image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum607
5-th percentile673
Q1724
median782.5
Q3878
95-th percentile989
Maximum1193
Range586
Interquartile range (IQR)154

Descriptive statistics

Standard deviation101.5982062
Coefficient of variation (CV)0.1261597417
Kurtosis-0.2361169597
Mean805.314
Median Absolute Deviation (MAD)70.5
Skewness0.6554900653
Sum1610628
Variance10322.1955
MonotonicityNot monotonic
2023-11-06T23:16:12.321949image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71318
 
0.9%
71216
 
0.8%
69316
 
0.8%
76914
 
0.7%
71914
 
0.7%
72114
 
0.7%
73113
 
0.7%
73513
 
0.7%
73213
 
0.7%
74313
 
0.7%
Other values (401)1856
92.8%
ValueCountFrequency (%)
6071
0.1%
6281
0.1%
6291
0.1%
6302
0.1%
6311
0.1%
ValueCountFrequency (%)
11931
0.1%
11581
0.1%
11541
0.1%
11462
0.1%
11301
0.1%

feature_40
Real number (ℝ≥0)

Distinct326
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean798.8795
Minimum559
Maximum932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:12.618050image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum559
5-th percentile647
Q1755
median815
Q3857
95-th percentile898
Maximum932
Range373
Interquartile range (IQR)102

Descriptive statistics

Standard deviation76.60661372
Coefficient of variation (CV)0.0958925767
Kurtosis-0.04983835495
Mean798.8795
Median Absolute Deviation (MAD)48
Skewness-0.7757820447
Sum1597759
Variance5868.573266
MonotonicityNot monotonic
2023-11-06T23:16:12.937048image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83523
 
1.1%
80919
 
0.9%
85519
 
0.9%
85618
 
0.9%
84917
 
0.9%
84217
 
0.9%
83916
 
0.8%
81816
 
0.8%
81516
 
0.8%
80716
 
0.8%
Other values (316)1823
91.1%
ValueCountFrequency (%)
5591
0.1%
5601
0.1%
5651
0.1%
5671
0.1%
5681
0.1%
ValueCountFrequency (%)
9321
 
0.1%
9282
0.1%
9274
0.2%
9241
 
0.1%
9222
0.1%

feature_41
Real number (ℝ≥0)

Distinct364
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean888.374
Minimum602
Maximum1083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:13.254005image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum602
5-th percentile735.95
Q1833
median907
Q3948.25
95-th percentile992
Maximum1083
Range481
Interquartile range (IQR)115.25

Descriptive statistics

Standard deviation80.87352093
Coefficient of variation (CV)0.09103544332
Kurtosis-0.1230206119
Mean888.374
Median Absolute Deviation (MAD)51
Skewness-0.671819591
Sum1776748
Variance6540.526387
MonotonicityNot monotonic
2023-11-06T23:16:13.554606image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93219
 
0.9%
91318
 
0.9%
94618
 
0.9%
92717
 
0.9%
95217
 
0.9%
94116
 
0.8%
91016
 
0.8%
95716
 
0.8%
93116
 
0.8%
90116
 
0.8%
Other values (354)1831
91.5%
ValueCountFrequency (%)
6021
0.1%
6061
0.1%
6291
0.1%
6321
0.1%
6511
0.1%
ValueCountFrequency (%)
10832
0.1%
10821
0.1%
10571
0.1%
10531
0.1%
10501
0.1%

feature_42
Real number (ℝ≥0)

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.533
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:13.934042image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q115
median20
Q326
95-th percentile32
Maximum35
Range33
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.129328486
Coefficient of variation (CV)0.3472131927
Kurtosis-0.967545342
Mean20.533
Median Absolute Deviation (MAD)6
Skewness-0.09587515292
Sum41066
Variance50.82732466
MonotonicityNot monotonic
2023-11-06T23:16:14.253062image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
26134
 
6.7%
25123
 
6.2%
27109
 
5.5%
18105
 
5.2%
12101
 
5.1%
2495
 
4.8%
1494
 
4.7%
1391
 
4.5%
1589
 
4.5%
1783
 
4.2%
Other values (24)976
48.8%
ValueCountFrequency (%)
21
 
0.1%
34
0.2%
47
0.4%
59
0.4%
68
0.4%
ValueCountFrequency (%)
357
 
0.4%
3417
 
0.9%
3332
1.6%
3252
2.6%
3147
2.4%

feature_43
Real number (ℝ≥0)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.904
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:14.892602image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q116
median21
Q326
95-th percentile33
Maximum41
Range38
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.631835065
Coefficient of variation (CV)0.3650896988
Kurtosis-0.5954344726
Mean20.904
Median Absolute Deviation (MAD)5
Skewness-0.04640760921
Sum41808
Variance58.24490645
MonotonicityNot monotonic
2023-11-06T23:16:15.351360image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20116
 
5.8%
18114
 
5.7%
23111
 
5.5%
2498
 
4.9%
2293
 
4.7%
2191
 
4.5%
2689
 
4.5%
1686
 
4.3%
2583
 
4.2%
1779
 
4.0%
Other values (29)1040
52.0%
ValueCountFrequency (%)
32
 
0.1%
48
 
0.4%
57
 
0.4%
630
1.5%
735
1.8%
ValueCountFrequency (%)
411
 
0.1%
401
 
0.1%
394
 
0.2%
3814
0.7%
3711
0.5%

feature_44
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.22
Minimum0
Maximum43
Zeros26
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:15.652133image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117
median25
Q332
95-th percentile39
Maximum43
Range43
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.950130781
Coefficient of variation (CV)0.4108229059
Kurtosis-0.5073220548
Mean24.22
Median Absolute Deviation (MAD)7
Skewness-0.4351590516
Sum48440
Variance99.00510255
MonotonicityNot monotonic
2023-11-06T23:16:15.935007image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
3283
 
4.2%
3181
 
4.0%
2878
 
3.9%
3475
 
3.8%
2975
 
3.8%
2374
 
3.7%
2173
 
3.6%
2470
 
3.5%
3070
 
3.5%
2570
 
3.5%
Other values (34)1251
62.5%
ValueCountFrequency (%)
026
1.3%
122
1.1%
218
0.9%
38
 
0.4%
49
 
0.4%
ValueCountFrequency (%)
434
 
0.2%
427
 
0.4%
417
 
0.4%
4039
1.9%
3945
2.2%

feature_45
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.996
Minimum0
Maximum23
Zeros63
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:16.470877image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median9
Q312
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.615802944
Coefficient of variation (CV)0.513095036
Kurtosis-0.3480989292
Mean8.996
Median Absolute Deviation (MAD)3
Skewness-0.07506948814
Sum17992
Variance21.30563682
MonotonicityNot monotonic
2023-11-06T23:16:16.919412image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9249
12.4%
10247
12.3%
8190
 
9.5%
11184
 
9.2%
1121
 
6.0%
12107
 
5.3%
7101
 
5.1%
1392
 
4.6%
677
 
3.9%
274
 
3.7%
Other values (13)558
27.9%
ValueCountFrequency (%)
063
3.1%
1121
6.0%
274
3.7%
360
3.0%
460
3.0%
ValueCountFrequency (%)
231
 
0.1%
216
 
0.3%
209
 
0.4%
1914
0.7%
1832
1.6%

feature_46
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4495
Minimum0
Maximum21
Zeros82
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:17.180774image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q314
95-th percentile17
Maximum21
Range21
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.50468896
Coefficient of variation (CV)0.5825375904
Kurtosis-1.142371279
Mean9.4495
Median Absolute Deviation (MAD)4
Skewness-0.2201887118
Sum18899
Variance30.30160055
MonotonicityNot monotonic
2023-11-06T23:16:17.401706image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1167
 
8.3%
15155
 
7.8%
13151
 
7.5%
11130
 
6.5%
14129
 
6.5%
10121
 
6.0%
16120
 
6.0%
12118
 
5.9%
2115
 
5.8%
9106
 
5.3%
Other values (12)688
34.4%
ValueCountFrequency (%)
082
4.1%
1167
8.3%
2115
5.8%
371
3.5%
464
 
3.2%
ValueCountFrequency (%)
211
 
0.1%
2010
 
0.5%
1926
 
1.3%
1848
2.4%
1782
4.1%

feature_47
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0735
Minimum0
Maximum22
Zeros91
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:17.772302image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q313
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.423726224
Coefficient of variation (CV)0.5977545847
Kurtosis-0.9518147358
Mean9.0735
Median Absolute Deviation (MAD)4
Skewness-0.1183486508
Sum18147
Variance29.41680615
MonotonicityNot monotonic
2023-11-06T23:16:18.459776image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11189
 
9.4%
1185
 
9.2%
10182
 
9.1%
12165
 
8.2%
9153
 
7.6%
13141
 
7.0%
2118
 
5.9%
091
 
4.5%
388
 
4.4%
1482
 
4.1%
Other values (13)606
30.3%
ValueCountFrequency (%)
091
4.5%
1185
9.2%
2118
5.9%
388
4.4%
455
 
2.8%
ValueCountFrequency (%)
222
 
0.1%
217
 
0.4%
2015
 
0.8%
1929
1.5%
1854
2.7%

feature_48
Real number (ℝ≥0)

Distinct300
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.2515
Minimum123
Maximum514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:18.897212image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum123
5-th percentile211
Q1259
median303
Q3352
95-th percentile417
Maximum514
Range391
Interquartile range (IQR)93

Descriptive statistics

Standard deviation64.30300682
Coefficient of variation (CV)0.2092845985
Kurtosis-0.3506082538
Mean307.2515
Median Absolute Deviation (MAD)46
Skewness0.2476609292
Sum614503
Variance4134.876686
MonotonicityNot monotonic
2023-11-06T23:16:19.413669image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30320
 
1.0%
28719
 
0.9%
30119
 
0.9%
29717
 
0.9%
31017
 
0.9%
33117
 
0.9%
30216
 
0.8%
24316
 
0.8%
34816
 
0.8%
24815
 
0.8%
Other values (290)1828
91.4%
ValueCountFrequency (%)
1231
0.1%
1341
0.1%
1471
0.1%
1531
0.1%
1541
0.1%
ValueCountFrequency (%)
5141
0.1%
5102
0.1%
5001
0.1%
4991
0.1%
4941
0.1%

feature_49
Real number (ℝ≥0)

Distinct484
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.1625
Minimum71
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:19.823189image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile151
Q1221
median293
Q3388
95-th percentile544
Maximum650
Range579
Interquartile range (IQR)167

Descriptive statistics

Standard deviation117.5046415
Coefficient of variation (CV)0.3764213878
Kurtosis-0.3233454023
Mean312.1625
Median Absolute Deviation (MAD)80
Skewness0.5953457253
Sum624325
Variance13807.34076
MonotonicityNot monotonic
2023-11-06T23:16:20.100717image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21017
 
0.9%
29317
 
0.9%
24012
 
0.6%
20612
 
0.6%
23712
 
0.6%
23511
 
0.5%
29911
 
0.5%
19111
 
0.5%
28111
 
0.5%
31811
 
0.5%
Other values (474)1875
93.8%
ValueCountFrequency (%)
711
0.1%
881
0.1%
911
0.1%
931
0.1%
951
0.1%
ValueCountFrequency (%)
6501
0.1%
6461
0.1%
6441
0.1%
6402
0.1%
6321
0.1%

feature_50
Real number (ℝ≥0)

Distinct471
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean794.6805
Minimum553
Maximum1196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:20.400598image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum553
5-th percentile638.95
Q1704.75
median781
Q3868.25
95-th percentile1000.05
Maximum1196
Range643
Interquartile range (IQR)163.5

Descriptive statistics

Standard deviation112.4396716
Coefficient of variation (CV)0.1414904124
Kurtosis-0.08171956798
Mean794.6805
Median Absolute Deviation (MAD)80.5
Skewness0.5764161057
Sum1589361
Variance12642.67976
MonotonicityNot monotonic
2023-11-06T23:16:20.690197image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69213
 
0.7%
82313
 
0.7%
70113
 
0.7%
76212
 
0.6%
68612
 
0.6%
70912
 
0.6%
75512
 
0.6%
72012
 
0.6%
79712
 
0.6%
68411
 
0.5%
Other values (461)1878
93.9%
ValueCountFrequency (%)
5531
0.1%
5571
0.1%
5601
0.1%
5671
0.1%
5691
0.1%
ValueCountFrequency (%)
11961
0.1%
11771
0.1%
11711
0.1%
11671
0.1%
11481
0.1%

feature_51
Real number (ℝ≥0)

Distinct413
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean817.129
Minimum573
Maximum1177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:21.019517image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum573
5-th percentile694
Q1747
median796
Q3885
95-th percentile996
Maximum1177
Range604
Interquartile range (IQR)138

Descriptive statistics

Standard deviation95.68912458
Coefficient of variation (CV)0.1171040614
Kurtosis0.04237587026
Mean817.129
Median Absolute Deviation (MAD)60
Skewness0.7030513313
Sum1634258
Variance9156.408563
MonotonicityNot monotonic
2023-11-06T23:16:21.351022image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76526
 
1.3%
75920
 
1.0%
76818
 
0.9%
73517
 
0.9%
75817
 
0.9%
77616
 
0.8%
74315
 
0.8%
75615
 
0.8%
74914
 
0.7%
75414
 
0.7%
Other values (403)1828
91.4%
ValueCountFrequency (%)
5731
0.1%
5871
0.1%
6071
0.1%
6161
0.1%
6191
0.1%
ValueCountFrequency (%)
11771
0.1%
11701
0.1%
11481
0.1%
11321
0.1%
11271
0.1%

feature_52
Real number (ℝ≥0)

Distinct375
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean891.3755
Minimum604
Maximum1048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:21.761948image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum604
5-th percentile704.95
Q1830
median917
Q3963
95-th percentile1011
Maximum1048
Range444
Interquartile range (IQR)133

Descriptive statistics

Standard deviation94.52867467
Coefficient of variation (CV)0.1060480961
Kurtosis-0.3616493682
Mean891.3755
Median Absolute Deviation (MAD)56
Skewness-0.7616728885
Sum1782751
Variance8935.670335
MonotonicityNot monotonic
2023-11-06T23:16:22.090282image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96520
 
1.0%
92318
 
0.9%
97117
 
0.9%
95117
 
0.9%
95317
 
0.9%
91516
 
0.8%
94315
 
0.8%
93115
 
0.8%
92415
 
0.8%
94114
 
0.7%
Other values (365)1836
91.8%
ValueCountFrequency (%)
6041
0.1%
6271
0.1%
6311
0.1%
6341
0.1%
6401
0.1%
ValueCountFrequency (%)
10481
 
0.1%
10441
 
0.1%
10433
0.1%
10401
 
0.1%
10381
 
0.1%

feature_53
Real number (ℝ≥0)

Distinct367
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean738.781
Minimum475
Maximum1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:22.484991image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum475
5-th percentile585.95
Q1695
median753
Q3787
95-th percentile845.05
Maximum1011
Range536
Interquartile range (IQR)92

Descriptive statistics

Standard deviation77.715313
Coefficient of variation (CV)0.105193979
Kurtosis0.4762468936
Mean738.781
Median Absolute Deviation (MAD)43
Skewness-0.5617448732
Sum1477562
Variance6039.669874
MonotonicityNot monotonic
2023-11-06T23:16:22.801207image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74523
 
1.1%
77222
 
1.1%
77421
 
1.1%
75121
 
1.1%
78420
 
1.0%
77919
 
0.9%
76119
 
0.9%
76918
 
0.9%
76818
 
0.9%
77518
 
0.9%
Other values (357)1801
90.0%
ValueCountFrequency (%)
4751
0.1%
4922
0.1%
4931
0.1%
4971
0.1%
4991
0.1%
ValueCountFrequency (%)
10111
0.1%
9841
0.1%
9761
0.1%
9691
0.1%
9382
0.1%

feature_54
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.112
Minimum0
Maximum41
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:23.118463image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q114
median23
Q332
95-th percentile38
Maximum41
Range41
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.8702593
Coefficient of variation (CV)0.4916000046
Kurtosis-0.9433033271
Mean22.112
Median Absolute Deviation (MAD)9
Skewness-0.1969419001
Sum44224
Variance118.1625373
MonotonicityNot monotonic
2023-11-06T23:16:23.417105image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1474
 
3.7%
1572
 
3.6%
3571
 
3.5%
2370
 
3.5%
168
 
3.4%
3467
 
3.4%
2563
 
3.1%
1362
 
3.1%
3762
 
3.1%
1762
 
3.1%
Other values (32)1329
66.5%
ValueCountFrequency (%)
025
 
1.2%
168
3.4%
219
 
0.9%
315
 
0.8%
413
 
0.7%
ValueCountFrequency (%)
419
 
0.4%
4031
1.6%
3944
2.2%
3848
2.4%
3762
3.1%

feature_55
Real number (ℝ≥0)

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.242
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:23.711130image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q115
median21
Q326
95-th percentile33
Maximum40
Range39
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.536326519
Coefficient of variation (CV)0.4217135915
Kurtosis-0.5859468693
Mean20.242
Median Absolute Deviation (MAD)6
Skewness-0.2592651588
Sum40484
Variance72.86887044
MonotonicityNot monotonic
2023-11-06T23:16:23.983701image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
22121
 
6.0%
23100
 
5.0%
2495
 
4.8%
2094
 
4.7%
1894
 
4.7%
1989
 
4.5%
2188
 
4.4%
2685
 
4.2%
2579
 
4.0%
2875
 
3.8%
Other values (30)1080
54.0%
ValueCountFrequency (%)
12
 
0.1%
26
 
0.3%
334
1.7%
460
3.0%
554
2.7%
ValueCountFrequency (%)
402
 
0.1%
393
 
0.1%
3812
0.6%
3710
0.5%
3624
1.2%

feature_56
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.814
Minimum0
Maximum43
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:24.283351image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median20
Q329
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.18355668
Coefficient of variation (CV)0.564427005
Kurtosis-1.055824262
Mean19.814
Median Absolute Deviation (MAD)9
Skewness0.02645232319
Sum39628
Variance125.07194
MonotonicityNot monotonic
2023-11-06T23:16:24.587820image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2484
 
4.2%
2879
 
4.0%
1171
 
3.5%
1069
 
3.5%
1262
 
3.1%
2960
 
3.0%
2259
 
2.9%
2758
 
2.9%
3057
 
2.9%
2357
 
2.9%
Other values (34)1344
67.2%
ValueCountFrequency (%)
025
1.2%
148
2.4%
252
2.6%
348
2.4%
439
1.9%
ValueCountFrequency (%)
432
 
0.1%
427
 
0.4%
4121
1.1%
4021
1.1%
3937
1.8%

feature_57
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.041
Minimum0
Maximum24
Zeros44
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:24.850661image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median9
Q312
95-th percentile16
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.574908075
Coefficient of variation (CV)0.5060179266
Kurtosis-0.3194851582
Mean9.041
Median Absolute Deviation (MAD)3
Skewness-0.03586662125
Sum18082
Variance20.92978389
MonotonicityNot monotonic
2023-11-06T23:16:25.120095image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
11208
 
10.4%
10203
 
10.2%
9186
 
9.3%
12173
 
8.6%
8169
 
8.5%
7126
 
6.3%
2118
 
5.9%
13115
 
5.8%
396
 
4.8%
1483
 
4.2%
Other values (14)523
26.2%
ValueCountFrequency (%)
044
 
2.2%
179
4.0%
2118
5.9%
396
4.8%
458
2.9%
ValueCountFrequency (%)
241
 
0.1%
226
0.3%
219
0.4%
2012
0.6%
1913
0.7%

feature_58
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9885
Minimum0
Maximum22
Zeros51
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:25.585882image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median11
Q314
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.495404215
Coefficient of variation (CV)0.5501731206
Kurtosis-1.069824402
Mean9.9885
Median Absolute Deviation (MAD)4
Skewness-0.2143640139
Sum19977
Variance30.19946748
MonotonicityNot monotonic
2023-11-06T23:16:25.900422image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
14150
 
7.5%
12141
 
7.0%
16139
 
7.0%
15131
 
6.6%
2127
 
6.3%
13121
 
6.0%
11120
 
6.0%
9113
 
5.7%
10111
 
5.5%
1109
 
5.5%
Other values (13)738
36.9%
ValueCountFrequency (%)
051
2.5%
1109
5.5%
2127
6.3%
398
4.9%
470
3.5%
ValueCountFrequency (%)
221
 
0.1%
2110
 
0.5%
2019
 
0.9%
1935
1.8%
1860
3.0%

feature_59
Real number (ℝ≥0)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1725
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:26.180795image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q312
95-th percentile15
Maximum20
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.594823752
Coefficient of variation (CV)0.2550822071
Kurtosis1.317432856
Mean10.1725
Median Absolute Deviation (MAD)1
Skewness-0.09339478025
Sum20345
Variance6.733110305
MonotonicityNot monotonic
2023-11-06T23:16:26.568069image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10416
20.8%
9367
18.4%
11296
14.8%
12235
11.8%
8188
9.4%
13121
 
6.0%
1471
 
3.5%
767
 
3.4%
1540
 
2.0%
640
 
2.0%
Other values (10)159
 
8.0%
ValueCountFrequency (%)
13
 
0.1%
29
 
0.4%
327
1.4%
423
1.1%
533
1.7%
ValueCountFrequency (%)
201
 
0.1%
192
 
0.1%
187
 
0.4%
1719
0.9%
1635
1.8%

feature_60
Real number (ℝ≥0)

Distinct302
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.5385
Minimum106
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:26.985305image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile173
Q1224
median262
Q3311
95-th percentile383.05
Maximum501
Range395
Interquartile range (IQR)87

Descriptive statistics

Standard deviation64.16436745
Coefficient of variation (CV)0.2389391743
Kurtosis-0.1425858891
Mean268.5385
Median Absolute Deviation (MAD)43
Skewness0.3972230522
Sum537077
Variance4117.066051
MonotonicityNot monotonic
2023-11-06T23:16:27.334587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26822
 
1.1%
28619
 
0.9%
22719
 
0.9%
23918
 
0.9%
22918
 
0.9%
26018
 
0.9%
25117
 
0.9%
23816
 
0.8%
22516
 
0.8%
22416
 
0.8%
Other values (292)1821
91.0%
ValueCountFrequency (%)
1061
0.1%
1172
0.1%
1201
0.1%
1211
0.1%
1221
0.1%
ValueCountFrequency (%)
5011
0.1%
4661
0.1%
4621
0.1%
4561
0.1%
4541
0.1%

feature_61
Real number (ℝ≥0)

Distinct348
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309.2185
Minimum125
Maximum580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:27.666745image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile194
Q1248
median303
Q3364
95-th percentile449
Maximum580
Range455
Interquartile range (IQR)116

Descriptive statistics

Standard deviation78.9715329
Coefficient of variation (CV)0.2553907121
Kurtosis-0.3183953243
Mean309.2185
Median Absolute Deviation (MAD)58
Skewness0.3698962645
Sum618437
Variance6236.503009
MonotonicityNot monotonic
2023-11-06T23:16:27.929590image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35517
 
0.9%
34716
 
0.8%
23914
 
0.7%
24114
 
0.7%
24613
 
0.7%
29813
 
0.7%
23213
 
0.7%
32413
 
0.7%
34513
 
0.7%
31213
 
0.7%
Other values (338)1861
93.0%
ValueCountFrequency (%)
1251
0.1%
1341
0.1%
1411
0.1%
1431
0.1%
1462
0.1%
ValueCountFrequency (%)
5801
 
0.1%
5481
 
0.1%
5471
 
0.1%
5403
0.1%
5381
 
0.1%

feature_62
Real number (ℝ≥0)

Distinct464
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean656.1535
Minimum442
Maximum1093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:28.197201image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum442
5-th percentile500
Q1561
median643
Q3733
95-th percentile859
Maximum1093
Range651
Interquartile range (IQR)172

Descriptive statistics

Standard deviation114.5225071
Coefficient of variation (CV)0.1745361522
Kurtosis-0.1873782934
Mean656.1535
Median Absolute Deviation (MAD)86
Skewness0.5756582931
Sum1312307
Variance13115.40464
MonotonicityNot monotonic
2023-11-06T23:16:28.467103image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55315
 
0.8%
53214
 
0.7%
55214
 
0.7%
52912
 
0.6%
66312
 
0.6%
58912
 
0.6%
54012
 
0.6%
69911
 
0.5%
59311
 
0.5%
54111
 
0.5%
Other values (454)1876
93.8%
ValueCountFrequency (%)
4421
0.1%
4471
0.1%
4501
0.1%
4511
0.1%
4551
0.1%
ValueCountFrequency (%)
10931
0.1%
10561
0.1%
10421
0.1%
10331
0.1%
10211
0.1%

feature_63
Real number (ℝ≥0)

Distinct404
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785.091
Minimum486
Maximum1145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:28.750124image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum486
5-th percentile647
Q1720
median774
Q3850
95-th percentile940
Maximum1145
Range659
Interquartile range (IQR)130

Descriptive statistics

Standard deviation91.70401045
Coefficient of variation (CV)0.1168068548
Kurtosis-0.1405104936
Mean785.091
Median Absolute Deviation (MAD)63
Skewness0.2773753575
Sum1570182
Variance8409.625532
MonotonicityNot monotonic
2023-11-06T23:16:29.042585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76921
 
1.1%
73315
 
0.8%
76315
 
0.8%
75414
 
0.7%
74613
 
0.7%
76813
 
0.7%
77113
 
0.7%
77313
 
0.7%
75013
 
0.7%
85013
 
0.7%
Other values (394)1857
92.8%
ValueCountFrequency (%)
4861
0.1%
5481
0.1%
5671
0.1%
5722
0.1%
5741
0.1%
ValueCountFrequency (%)
11451
0.1%
10901
0.1%
10752
0.1%
10701
0.1%
10611
0.1%

feature_64
Real number (ℝ≥0)

Distinct449
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean999.5045
Minimum647
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:29.434684image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum647
5-th percentile753
Q1938
median1036
Q31090
95-th percentile1141
Maximum1179
Range532
Interquartile range (IQR)152

Descriptive statistics

Standard deviation121.1619664
Coefficient of variation (CV)0.1212220319
Kurtosis-0.2128397496
Mean999.5045
Median Absolute Deviation (MAD)66
Skewness-0.9036510053
Sum1999009
Variance14680.22209
MonotonicityNot monotonic
2023-11-06T23:16:29.733522image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105819
 
0.9%
109618
 
0.9%
108516
 
0.8%
108615
 
0.8%
103014
 
0.7%
106613
 
0.7%
107213
 
0.7%
109513
 
0.7%
107513
 
0.7%
112113
 
0.7%
Other values (439)1853
92.7%
ValueCountFrequency (%)
6471
0.1%
6601
0.1%
6662
0.1%
6681
0.1%
6751
0.1%
ValueCountFrequency (%)
11791
 
0.1%
11751
 
0.1%
11743
0.1%
11711
 
0.1%
11691
 
0.1%

feature_65
Real number (ℝ≥0)

Distinct383
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720.753
Minimum497
Maximum984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:30.009318image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum497
5-th percentile575
Q1670
median730
Q3766
95-th percentile857
Maximum984
Range487
Interquartile range (IQR)96

Descriptive statistics

Standard deviation81.58277309
Coefficient of variation (CV)0.1131910281
Kurtosis0.05808121973
Mean720.753
Median Absolute Deviation (MAD)44
Skewness-0.08482193096
Sum1441506
Variance6655.748865
MonotonicityNot monotonic
2023-11-06T23:16:30.299753image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73924
 
1.2%
73123
 
1.1%
75522
 
1.1%
72920
 
1.0%
74120
 
1.0%
72819
 
0.9%
75718
 
0.9%
72117
 
0.9%
71317
 
0.9%
75117
 
0.9%
Other values (373)1803
90.1%
ValueCountFrequency (%)
4971
0.1%
4981
0.1%
5021
0.1%
5121
0.1%
5171
0.1%
ValueCountFrequency (%)
9842
0.1%
9802
0.1%
9601
0.1%
9511
0.1%
9411
0.1%

feature_66
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.294
Minimum0
Maximum40
Zeros45
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:30.593963image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median22
Q331
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.68431754
Coefficient of variation (CV)0.5017524909
Kurtosis-0.9580568996
Mean21.294
Median Absolute Deviation (MAD)9
Skewness-0.2155393342
Sum42588
Variance114.1546413
MonotonicityNot monotonic
2023-11-06T23:16:30.848625image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2475
 
3.8%
3272
 
3.6%
3470
 
3.5%
3168
 
3.4%
2268
 
3.4%
1266
 
3.3%
1663
 
3.1%
3363
 
3.1%
1361
 
3.0%
3060
 
3.0%
Other values (31)1334
66.7%
ValueCountFrequency (%)
045
2.2%
143
2.1%
239
1.9%
317
 
0.9%
416
 
0.8%
ValueCountFrequency (%)
407
 
0.4%
3927
1.4%
3843
2.1%
3750
2.5%
3653
2.6%

feature_67
Real number (ℝ≥0)

Distinct38
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.771
Minimum3
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:31.133073image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q115
median20
Q325
95-th percentile30
Maximum40
Range37
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.834611544
Coefficient of variation (CV)0.345688713
Kurtosis-0.4940467591
Mean19.771
Median Absolute Deviation (MAD)5
Skewness-0.03066685368
Sum39542
Variance46.71191496
MonotonicityNot monotonic
2023-11-06T23:16:31.384279image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19117
 
5.9%
14112
 
5.6%
18110
 
5.5%
24109
 
5.5%
20106
 
5.3%
27104
 
5.2%
26103
 
5.1%
13100
 
5.0%
1695
 
4.8%
2194
 
4.7%
Other values (28)950
47.5%
ValueCountFrequency (%)
34
 
0.2%
49
 
0.4%
517
0.9%
631
1.6%
724
1.2%
ValueCountFrequency (%)
401
 
0.1%
391
 
0.1%
381
 
0.1%
372
 
0.1%
369
0.4%

feature_68
Real number (ℝ≥0)

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.754
Minimum0
Maximum42
Zeros19
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:31.665587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median15
Q323
95-th percentile37
Maximum42
Range42
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.19369608
Coefficient of variation (CV)0.6084335727
Kurtosis-0.441353146
Mean16.754
Median Absolute Deviation (MAD)7
Skewness0.6060380888
Sum33508
Variance103.9114397
MonotonicityNot monotonic
2023-11-06T23:16:31.914747image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
11114
 
5.7%
15103
 
5.1%
1492
 
4.6%
1691
 
4.5%
1384
 
4.2%
981
 
4.0%
1277
 
3.9%
1077
 
3.9%
673
 
3.6%
873
 
3.6%
Other values (33)1135
56.8%
ValueCountFrequency (%)
019
0.9%
139
1.9%
239
1.9%
339
1.9%
439
1.9%
ValueCountFrequency (%)
4210
0.5%
4117
0.9%
4020
1.0%
3916
0.8%
3822
1.1%

feature_69
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.074
Minimum0
Maximum19
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:32.149398image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q313
95-th percentile15
Maximum19
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.623225184
Coefficient of variation (CV)0.5095024448
Kurtosis-1.24112541
Mean9.074
Median Absolute Deviation (MAD)4
Skewness-0.1409360695
Sum18148
Variance21.37421111
MonotonicityNot monotonic
2023-11-06T23:16:32.463218image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
14219
10.9%
13197
 
9.8%
5163
 
8.2%
4151
 
7.5%
12149
 
7.4%
6142
 
7.1%
15135
 
6.8%
3127
 
6.3%
10106
 
5.3%
11106
 
5.3%
Other values (10)505
25.2%
ValueCountFrequency (%)
025
 
1.2%
167
3.4%
260
 
3.0%
3127
6.3%
4151
7.5%
ValueCountFrequency (%)
193
 
0.1%
187
 
0.4%
1726
 
1.3%
1660
3.0%
15135
6.8%

feature_70
Real number (ℝ≥0)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8475
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:32.682518image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median9
Q312
95-th percentile17
Maximum20
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.460958374
Coefficient of variation (CV)0.3514555343
Kurtosis-0.01121651007
Mean9.8475
Median Absolute Deviation (MAD)2
Skewness0.5193590169
Sum19695
Variance11.97823287
MonotonicityNot monotonic
2023-11-06T23:16:32.898469image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9338
16.9%
8280
14.0%
10276
13.8%
7173
8.6%
11148
7.4%
1298
 
4.9%
696
 
4.8%
1386
 
4.3%
581
 
4.0%
1580
 
4.0%
Other values (10)344
17.2%
ValueCountFrequency (%)
12
 
0.1%
24
 
0.2%
330
 
1.5%
461
3.0%
581
4.0%
ValueCountFrequency (%)
203
 
0.1%
1914
 
0.7%
1825
 
1.2%
1771
3.5%
1668
3.4%

feature_71
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3625
Minimum0
Maximum24
Zeros89
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:33.132421image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q313
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.06427914
Coefficient of variation (CV)0.6477200684
Kurtosis-0.8697382004
Mean9.3625
Median Absolute Deviation (MAD)5
Skewness0.2565695945
Sum18725
Variance36.77548149
MonotonicityNot monotonic
2023-11-06T23:16:33.365719image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9188
 
9.4%
10179
 
8.9%
1169
 
8.5%
8168
 
8.4%
2117
 
5.9%
11112
 
5.6%
1895
 
4.8%
089
 
4.5%
386
 
4.3%
685
 
4.2%
Other values (15)712
35.6%
ValueCountFrequency (%)
089
4.5%
1169
8.5%
2117
5.9%
386
4.3%
450
 
2.5%
ValueCountFrequency (%)
241
 
0.1%
234
 
0.2%
2219
 
0.9%
2131
1.6%
2067
3.4%

feature_72
Real number (ℝ≥0)

Distinct304
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287.8225
Minimum111
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:33.632615image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile188
Q1245
median286
Q3330
95-th percentile391
Maximum501
Range390
Interquartile range (IQR)85

Descriptive statistics

Standard deviation60.95998732
Coefficient of variation (CV)0.2117971573
Kurtosis-0.1805948591
Mean287.8225
Median Absolute Deviation (MAD)43
Skewness0.07408370146
Sum575645
Variance3716.120054
MonotonicityNot monotonic
2023-11-06T23:16:33.915629image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30120
 
1.0%
25120
 
1.0%
33619
 
0.9%
29619
 
0.9%
28618
 
0.9%
27618
 
0.9%
28417
 
0.9%
26817
 
0.9%
31317
 
0.9%
25317
 
0.9%
Other values (294)1818
90.9%
ValueCountFrequency (%)
1111
0.1%
1201
0.1%
1221
0.1%
1291
0.1%
1321
0.1%
ValueCountFrequency (%)
5011
0.1%
4771
0.1%
4661
0.1%
4561
0.1%
4531
0.1%

feature_73
Real number (ℝ≥0)

Distinct361
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.2515
Minimum125
Maximum613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:34.198753image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile211
Q1266
median317
Q3381
95-th percentile481
Maximum613
Range488
Interquartile range (IQR)115

Descriptive statistics

Standard deviation82.39424527
Coefficient of variation (CV)0.2517765244
Kurtosis-0.2837404978
Mean327.2515
Median Absolute Deviation (MAD)56
Skewness0.4751018599
Sum654503
Variance6788.811654
MonotonicityNot monotonic
2023-11-06T23:16:34.482343image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33417
 
0.9%
30316
 
0.8%
31815
 
0.8%
27214
 
0.7%
28014
 
0.7%
27914
 
0.7%
35114
 
0.7%
28514
 
0.7%
26414
 
0.7%
27314
 
0.7%
Other values (351)1854
92.7%
ValueCountFrequency (%)
1251
0.1%
1421
0.1%
1432
0.1%
1471
0.1%
1481
0.1%
ValueCountFrequency (%)
6131
0.1%
5771
0.1%
5711
0.1%
5701
0.1%
5591
0.1%

feature_74
Real number (ℝ≥0)

Distinct435
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766.2895
Minimum511
Maximum1164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:34.748021image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum511
5-th percentile626.95
Q1698
median753
Q3825
95-th percentile948
Maximum1164
Range653
Interquartile range (IQR)127

Descriptive statistics

Standard deviation97.20114053
Coefficient of variation (CV)0.1268464993
Kurtosis0.3603736594
Mean766.2895
Median Absolute Deviation (MAD)61
Skewness0.5852695871
Sum1532579
Variance9448.061721
MonotonicityNot monotonic
2023-11-06T23:16:35.173582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75117
 
0.9%
69817
 
0.9%
72116
 
0.8%
76416
 
0.8%
71215
 
0.8%
71515
 
0.8%
73514
 
0.7%
74614
 
0.7%
74913
 
0.7%
77513
 
0.7%
Other values (425)1850
92.5%
ValueCountFrequency (%)
5111
0.1%
5241
0.1%
5332
0.1%
5471
0.1%
5501
0.1%
ValueCountFrequency (%)
11641
0.1%
11591
0.1%
11371
0.1%
11131
0.1%
10941
0.1%

feature_75
Real number (ℝ≥0)

Distinct395
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.917
Minimum463
Maximum992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:36.034338image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum463
5-th percentile505
Q1553
median609
Q3702
95-th percentile804
Maximum992
Range529
Interquartile range (IQR)149

Descriptive statistics

Standard deviation96.56102799
Coefficient of variation (CV)0.1530487021
Kurtosis-0.3428743111
Mean630.917
Median Absolute Deviation (MAD)69
Skewness0.6225321584
Sum1261834
Variance9324.032127
MonotonicityNot monotonic
2023-11-06T23:16:36.416308image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55318
 
0.9%
56615
 
0.8%
57415
 
0.8%
53114
 
0.7%
54014
 
0.7%
56014
 
0.7%
55614
 
0.7%
54713
 
0.7%
52713
 
0.7%
53812
 
0.6%
Other values (385)1858
92.9%
ValueCountFrequency (%)
4631
 
0.1%
4691
 
0.1%
4721
 
0.1%
4743
0.1%
4752
0.1%
ValueCountFrequency (%)
9921
0.1%
9611
0.1%
9551
0.1%
9491
0.1%
9431
0.1%

feature_76
Real number (ℝ≥0)

Distinct313
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716.8085
Minimum432
Maximum937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:36.715146image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum432
5-th percentile606
Q1682
median722
Q3758
95-th percentile806.05
Maximum937
Range505
Interquartile range (IQR)76

Descriptive statistics

Standard deviation63.00837131
Coefficient of variation (CV)0.08790126137
Kurtosis0.7530737713
Mean716.8085
Median Absolute Deviation (MAD)38
Skewness-0.3664875791
Sum1433617
Variance3970.054855
MonotonicityNot monotonic
2023-11-06T23:16:37.049214image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73022
 
1.1%
72220
 
1.0%
75420
 
1.0%
72419
 
0.9%
71119
 
0.9%
75519
 
0.9%
70419
 
0.9%
74119
 
0.9%
74518
 
0.9%
71618
 
0.9%
Other values (303)1807
90.3%
ValueCountFrequency (%)
4321
0.1%
4621
0.1%
4831
0.1%
4951
0.1%
5081
0.1%
ValueCountFrequency (%)
9371
0.1%
9211
0.1%
9171
0.1%
9142
0.1%
9071
0.1%

feature_77
Real number (ℝ≥0)

Distinct432
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean990.153
Minimum642
Maximum1204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:37.482319image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum642
5-th percentile780.95
Q1904
median1020
Q31083
95-th percentile1131
Maximum1204
Range562
Interquartile range (IQR)179

Descriptive statistics

Standard deviation112.7006891
Coefficient of variation (CV)0.1138214893
Kurtosis-0.7390021603
Mean990.153
Median Absolute Deviation (MAD)78
Skewness-0.5860439021
Sum1980306
Variance12701.44531
MonotonicityNot monotonic
2023-11-06T23:16:37.766149image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107317
 
0.9%
109116
 
0.8%
106115
 
0.8%
109714
 
0.7%
105914
 
0.7%
110014
 
0.7%
106514
 
0.7%
108714
 
0.7%
110613
 
0.7%
107413
 
0.7%
Other values (422)1856
92.8%
ValueCountFrequency (%)
6421
0.1%
6771
0.1%
6941
0.1%
7051
0.1%
7081
0.1%
ValueCountFrequency (%)
12041
0.1%
11771
0.1%
11691
0.1%
11662
0.1%
11632
0.1%

feature_78
Real number (ℝ≥0)

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.675
Minimum0
Maximum42
Zeros5
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:38.055701image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q111
median16
Q324
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.575263411
Coefficient of variation (CV)0.4851634179
Kurtosis-0.3303930492
Mean17.675
Median Absolute Deviation (MAD)6
Skewness0.4506500527
Sum35350
Variance73.53514257
MonotonicityNot monotonic
2023-11-06T23:16:38.298138image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
13129
 
6.5%
12100
 
5.0%
997
 
4.9%
1496
 
4.8%
1196
 
4.8%
2592
 
4.6%
1582
 
4.1%
1680
 
4.0%
1779
 
4.0%
2373
 
3.6%
Other values (33)1076
53.8%
ValueCountFrequency (%)
05
 
0.2%
114
0.7%
212
0.6%
325
1.2%
416
0.8%
ValueCountFrequency (%)
422
 
0.1%
414
 
0.2%
4014
0.7%
398
0.4%
3811
0.5%

feature_79
Real number (ℝ≥0)

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.935
Minimum3
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:38.725179image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10
Q117
median23
Q329
95-th percentile35
Maximum42
Range39
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.53745193
Coefficient of variation (CV)0.328644078
Kurtosis-0.7051217147
Mean22.935
Median Absolute Deviation (MAD)6
Skewness-0.05444232493
Sum45870
Variance56.81318159
MonotonicityNot monotonic
2023-11-06T23:16:39.060146image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
28113
 
5.7%
29102
 
5.1%
18101
 
5.1%
2697
 
4.9%
3089
 
4.5%
2288
 
4.4%
2186
 
4.3%
1585
 
4.2%
2085
 
4.2%
2484
 
4.2%
Other values (30)1070
53.5%
ValueCountFrequency (%)
33
 
0.1%
41
 
0.1%
51
 
0.1%
64
0.2%
79
0.4%
ValueCountFrequency (%)
423
 
0.1%
412
 
0.1%
408
0.4%
397
0.4%
3814
0.7%

feature_80
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.367
Minimum0
Maximum40
Zeros30
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:39.410445image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median24
Q331
95-th percentile38
Maximum40
Range40
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.68680691
Coefficient of variation (CV)0.4145507301
Kurtosis-0.461707815
Mean23.367
Median Absolute Deviation (MAD)7
Skewness-0.4431029264
Sum46734
Variance93.83422811
MonotonicityNot monotonic
2023-11-06T23:16:39.814528image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2386
 
4.3%
2983
 
4.2%
2883
 
4.2%
3182
 
4.1%
2181
 
4.0%
3280
 
4.0%
3078
 
3.9%
2274
 
3.7%
2671
 
3.5%
2470
 
3.5%
Other values (31)1212
60.6%
ValueCountFrequency (%)
030
1.5%
126
1.3%
217
0.9%
39
 
0.4%
410
 
0.5%
ValueCountFrequency (%)
4022
 
1.1%
3937
1.8%
3855
2.8%
3740
2.0%
3641
2.1%

feature_81
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.637
Minimum0
Maximum24
Zeros58
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:40.069633image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median10
Q314
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.483453759
Coefficient of variation (CV)0.5155075453
Kurtosis-0.5198003816
Mean10.637
Median Absolute Deviation (MAD)3
Skewness-0.08002880831
Sum21274
Variance30.06826513
MonotonicityNot monotonic
2023-11-06T23:16:40.314596image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9208
 
10.4%
10201
 
10.1%
11180
 
9.0%
8133
 
6.7%
12120
 
6.0%
1111
 
5.5%
13108
 
5.4%
1498
 
4.9%
1591
 
4.5%
1884
 
4.2%
Other values (15)666
33.3%
ValueCountFrequency (%)
058
2.9%
1111
5.5%
277
3.9%
336
 
1.8%
436
 
1.8%
ValueCountFrequency (%)
243
 
0.1%
239
 
0.4%
2216
 
0.8%
2122
1.1%
2053
2.6%

feature_82
Real number (ℝ≥0)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9495
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:40.558944image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median9
Q312
95-th percentile17
Maximum20
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.504153149
Coefficient of variation (CV)0.3521938941
Kurtosis-0.08783778894
Mean9.9495
Median Absolute Deviation (MAD)2
Skewness0.451571121
Sum19899
Variance12.27908929
MonotonicityNot monotonic
2023-11-06T23:16:40.764429image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9308
15.4%
10259
13.0%
8251
12.6%
7178
8.9%
11169
8.5%
12132
 
6.6%
6104
 
5.2%
1395
 
4.8%
577
 
3.9%
1776
 
3.8%
Other values (10)351
17.5%
ValueCountFrequency (%)
12
 
0.1%
26
 
0.3%
331
1.6%
458
2.9%
577
3.9%
ValueCountFrequency (%)
203
 
0.1%
1917
 
0.9%
1826
 
1.3%
1776
3.8%
1666
3.3%

feature_83
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9735
Minimum0
Maximum19
Zeros35
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:40.997588image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q314
95-th percentile17
Maximum19
Range19
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.211465959
Coefficient of variation (CV)0.580761794
Kurtosis-1.389320959
Mean8.9735
Median Absolute Deviation (MAD)5
Skewness-0.001453289998
Sum17947
Variance27.15937744
MonotonicityNot monotonic
2023-11-06T23:16:41.214418image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4181
 
9.0%
14174
 
8.7%
3163
 
8.2%
13159
 
8.0%
5148
 
7.4%
12139
 
7.0%
15133
 
6.7%
2130
 
6.5%
16110
 
5.5%
1190
 
4.5%
Other values (10)573
28.6%
ValueCountFrequency (%)
035
 
1.8%
169
 
3.5%
2130
6.5%
3163
8.2%
4181
9.0%
ValueCountFrequency (%)
195
 
0.2%
1836
 
1.8%
1772
3.6%
16110
5.5%
15133
6.7%

feature_84
Real number (ℝ≥0)

Distinct301
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.5215
Minimum131
Maximum503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:41.480448image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile210
Q1283
median329
Q3368
95-th percentile418
Maximum503
Range372
Interquartile range (IQR)85

Descriptive statistics

Standard deviation62.59988747
Coefficient of variation (CV)0.1934952931
Kurtosis-0.1245979262
Mean323.5215
Median Absolute Deviation (MAD)43
Skewness-0.3447075377
Sum647043
Variance3918.745911
MonotonicityNot monotonic
2023-11-06T23:16:41.944372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36022
 
1.1%
30919
 
0.9%
33419
 
0.9%
34118
 
0.9%
31117
 
0.9%
37517
 
0.9%
32217
 
0.9%
33617
 
0.9%
35317
 
0.9%
35417
 
0.9%
Other values (291)1820
91.0%
ValueCountFrequency (%)
1311
0.1%
1351
0.1%
1382
0.1%
1412
0.1%
1451
0.1%
ValueCountFrequency (%)
5031
0.1%
4882
0.1%
4871
0.1%
4771
0.1%
4741
0.1%

feature_85
Real number (ℝ≥0)

Distinct460
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.4935
Minimum98
Maximum725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:42.350378image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile190
Q1267
median328.5
Q3395
95-th percentile569.05
Maximum725
Range627
Interquartile range (IQR)128

Descriptive statistics

Standard deviation107.8466616
Coefficient of variation (CV)0.3158088267
Kurtosis0.5251191198
Mean341.4935
Median Absolute Deviation (MAD)64.5
Skewness0.7681997229
Sum682987
Variance11630.90241
MonotonicityNot monotonic
2023-11-06T23:16:42.682111image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25214
 
0.7%
34013
 
0.7%
29513
 
0.7%
35713
 
0.7%
37212
 
0.6%
29912
 
0.6%
29612
 
0.6%
29112
 
0.6%
33012
 
0.6%
28212
 
0.6%
Other values (450)1875
93.8%
ValueCountFrequency (%)
981
0.1%
1071
0.1%
1092
0.1%
1101
0.1%
1151
0.1%
ValueCountFrequency (%)
7251
0.1%
6991
0.1%
6941
0.1%
6911
0.1%
6811
0.1%

feature_86
Real number (ℝ≥0)

Distinct427
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716.0945
Minimum476
Maximum1101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:43.103751image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum476
5-th percentile580
Q1650.75
median701
Q3772
95-th percentile897.05
Maximum1101
Range625
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation95.91544952
Coefficient of variation (CV)0.1339424469
Kurtosis0.4757272867
Mean716.0945
Median Absolute Deviation (MAD)59
Skewness0.6703345636
Sum1432189
Variance9199.773456
MonotonicityNot monotonic
2023-11-06T23:16:43.415508image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66218
 
0.9%
70815
 
0.8%
71115
 
0.8%
64515
 
0.8%
67615
 
0.8%
68415
 
0.8%
65115
 
0.8%
70614
 
0.7%
65314
 
0.7%
65414
 
0.7%
Other values (417)1850
92.5%
ValueCountFrequency (%)
4761
0.1%
4821
0.1%
4941
0.1%
5011
0.1%
5091
0.1%
ValueCountFrequency (%)
11011
0.1%
10981
0.1%
10961
0.1%
10701
0.1%
10411
0.1%

feature_87
Real number (ℝ≥0)

Distinct448
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean578.614
Minimum381
Maximum947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:43.730878image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum381
5-th percentile428
Q1486
median565
Q3656
95-th percentile781
Maximum947
Range566
Interquartile range (IQR)170

Descriptive statistics

Standard deviation111.7612961
Coefficient of variation (CV)0.1931534599
Kurtosis-0.4604553612
Mean578.614
Median Absolute Deviation (MAD)82
Skewness0.5097662183
Sum1157228
Variance12490.5873
MonotonicityNot monotonic
2023-11-06T23:16:44.143812image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50915
 
0.8%
48415
 
0.8%
52812
 
0.6%
64212
 
0.6%
49312
 
0.6%
49012
 
0.6%
56112
 
0.6%
48011
 
0.5%
49711
 
0.5%
52911
 
0.5%
Other values (438)1877
93.8%
ValueCountFrequency (%)
3811
0.1%
3821
0.1%
3841
0.1%
3851
0.1%
3862
0.1%
ValueCountFrequency (%)
9471
 
0.1%
9184
0.2%
9051
 
0.1%
9011
 
0.1%
8922
0.1%

feature_88
Real number (ℝ≥0)

Distinct350
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean722.6915
Minimum481
Maximum1025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:44.482555image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum481
5-th percentile589
Q1674
median731
Q3774
95-th percentile830
Maximum1025
Range544
Interquartile range (IQR)100

Descriptive statistics

Standard deviation74.25673275
Coefficient of variation (CV)0.1027502506
Kurtosis0.1057219541
Mean722.6915
Median Absolute Deviation (MAD)48
Skewness-0.2278784893
Sum1445383
Variance5514.062359
MonotonicityNot monotonic
2023-11-06T23:16:44.897288image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71417
 
0.9%
76417
 
0.9%
74216
 
0.8%
77716
 
0.8%
76516
 
0.8%
73816
 
0.8%
74515
 
0.8%
72415
 
0.8%
75815
 
0.8%
77415
 
0.8%
Other values (340)1842
92.1%
ValueCountFrequency (%)
4811
0.1%
4941
0.1%
4951
0.1%
5021
0.1%
5072
0.1%
ValueCountFrequency (%)
10251
0.1%
9652
0.1%
9481
0.1%
9421
0.1%
9321
0.1%

feature_89
Real number (ℝ≥0)

Distinct405
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean861.481
Minimum527
Maximum1084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:45.363757image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile676.95
Q1797
median886
Q3935
95-th percentile983
Maximum1084
Range557
Interquartile range (IQR)138

Descriptive statistics

Standard deviation95.78658661
Coefficient of variation (CV)0.1111882753
Kurtosis-0.07898010818
Mean861.481
Median Absolute Deviation (MAD)60
Skewness-0.7697158676
Sum1722962
Variance9175.070174
MonotonicityNot monotonic
2023-11-06T23:16:45.659233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91520
 
1.0%
92720
 
1.0%
93518
 
0.9%
90717
 
0.9%
93816
 
0.8%
93316
 
0.8%
87315
 
0.8%
89015
 
0.8%
95415
 
0.8%
95214
 
0.7%
Other values (395)1834
91.7%
ValueCountFrequency (%)
5271
0.1%
5321
0.1%
5571
0.1%
5671
0.1%
5691
0.1%
ValueCountFrequency (%)
10841
 
0.1%
10591
 
0.1%
10241
 
0.1%
10231
 
0.1%
10223
0.1%

feature_90
Real number (ℝ≥0)

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.916
Minimum0
Maximum41
Zeros15
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:45.956596image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median18
Q325
95-th percentile34
Maximum41
Range41
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.265952349
Coefficient of variation (CV)0.5171886777
Kurtosis-0.7159341023
Mean17.916
Median Absolute Deviation (MAD)7
Skewness0.2190423927
Sum35832
Variance85.85787294
MonotonicityNot monotonic
2023-11-06T23:16:46.350735image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1697
 
4.9%
1994
 
4.7%
2090
 
4.5%
2884
 
4.2%
980
 
4.0%
1077
 
3.9%
675
 
3.8%
1775
 
3.8%
1868
 
3.4%
1266
 
3.3%
Other values (32)1194
59.7%
ValueCountFrequency (%)
015
 
0.8%
113
 
0.7%
225
1.2%
327
1.4%
445
2.2%
ValueCountFrequency (%)
414
 
0.2%
409
0.4%
3913
0.7%
3813
0.7%
3716
0.8%

feature_91
Real number (ℝ≥0)

Distinct36
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.762
Minimum2
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:46.605433image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12.95
Q119
median23
Q327
95-th percentile31
Maximum37
Range35
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.56936845
Coefficient of variation (CV)0.2446783433
Kurtosis0.1615123438
Mean22.762
Median Absolute Deviation (MAD)4
Skewness-0.4537679709
Sum45524
Variance31.01786493
MonotonicityNot monotonic
2023-11-06T23:16:47.000440image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
25177
 
8.8%
24155
 
7.8%
26154
 
7.7%
22135
 
6.8%
20126
 
6.3%
21119
 
5.9%
23119
 
5.9%
27116
 
5.8%
28113
 
5.7%
19104
 
5.2%
Other values (26)682
34.1%
ValueCountFrequency (%)
21
 
0.1%
32
0.1%
42
0.1%
53
0.1%
62
0.1%
ValueCountFrequency (%)
372
 
0.1%
363
 
0.1%
355
 
0.2%
3413
0.7%
3319
0.9%

feature_92
Real number (ℝ≥0)

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.525
Minimum0
Maximum44
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:47.388860image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median23
Q330
95-th percentile38
Maximum44
Range44
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.84892735
Coefficient of variation (CV)0.5040152078
Kurtosis-1.05195672
Mean21.525
Median Absolute Deviation (MAD)9
Skewness-0.1795428094
Sum43050
Variance117.6992246
MonotonicityNot monotonic
2023-11-06T23:16:47.697624image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2783
 
4.2%
3182
 
4.1%
2976
 
3.8%
771
 
3.5%
3071
 
3.5%
2568
 
3.4%
2867
 
3.4%
2666
 
3.3%
3265
 
3.2%
3362
 
3.1%
Other values (35)1289
64.5%
ValueCountFrequency (%)
018
0.9%
122
1.1%
230
1.5%
332
1.6%
430
1.5%
ValueCountFrequency (%)
443
 
0.1%
431
 
0.1%
427
 
0.4%
4110
0.5%
4020
1.0%

feature_93
Real number (ℝ≥0)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.039
Minimum0
Maximum24
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:48.007656image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q316
95-th percentile18.05
Maximum24
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.074874991
Coefficient of variation (CV)0.4597223473
Kurtosis-1.104738785
Mean11.039
Median Absolute Deviation (MAD)4
Skewness-0.02411273729
Sum22078
Variance25.75435618
MonotonicityNot monotonic
2023-11-06T23:16:48.340039image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16208
 
10.4%
7187
 
9.3%
8167
 
8.3%
15157
 
7.8%
6147
 
7.3%
17134
 
6.7%
14118
 
5.9%
5113
 
5.7%
9109
 
5.5%
1393
 
4.7%
Other values (15)567
28.3%
ValueCountFrequency (%)
011
 
0.5%
123
 
1.1%
233
1.7%
351
2.5%
465
3.2%
ValueCountFrequency (%)
242
 
0.1%
233
 
0.1%
223
 
0.1%
2112
 
0.6%
2031
1.6%

feature_94
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8585
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:48.573141image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median10
Q312
95-th percentile14
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.896320439
Coefficient of variation (CV)0.2937891605
Kurtosis-0.2880623433
Mean9.8585
Median Absolute Deviation (MAD)2
Skewness-0.3350991864
Sum19717
Variance8.388672086
MonotonicityNot monotonic
2023-11-06T23:16:48.779065image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10279
14.0%
11268
13.4%
12243
12.2%
8214
10.7%
9213
10.7%
13185
9.2%
7135
6.8%
14113
5.7%
6101
 
5.1%
577
 
3.9%
Other values (8)172
8.6%
ValueCountFrequency (%)
13
 
0.1%
29
 
0.4%
326
 
1.3%
456
2.8%
577
3.9%
ValueCountFrequency (%)
181
 
0.1%
174
 
0.2%
167
 
0.4%
1566
3.3%
14113
5.7%

feature_95
Real number (ℝ≥0)

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.0585
Minimum0
Maximum22
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:49.014048image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median14
Q316
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.310262977
Coefficient of variation (CV)0.3300733604
Kurtosis0.5990497923
Mean13.0585
Median Absolute Deviation (MAD)2
Skewness-1.011943867
Sum26117
Variance18.57836693
MonotonicityNot monotonic
2023-11-06T23:16:49.437546image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
16266
13.3%
15235
11.8%
14225
11.2%
17211
10.5%
13155
7.8%
12138
 
6.9%
18127
 
6.3%
11119
 
5.9%
10103
 
5.1%
969
 
3.5%
Other values (13)352
17.6%
ValueCountFrequency (%)
011
 
0.5%
122
1.1%
230
1.5%
341
2.1%
433
1.7%
ValueCountFrequency (%)
225
 
0.2%
215
 
0.2%
2014
 
0.7%
1946
 
2.3%
18127
6.3%

feature_96
Real number (ℝ≥0)

Distinct473
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383.6025
Minimum73
Maximum640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:49.753927image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile159
Q1329.75
median396
Q3456
95-th percentile544
Maximum640
Range567
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation108.9581132
Coefficient of variation (CV)0.2840391113
Kurtosis0.09360279288
Mean383.6025
Median Absolute Deviation (MAD)63
Skewness-0.5742627329
Sum767205
Variance11871.87043
MonotonicityNot monotonic
2023-11-06T23:16:50.014005image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41622
 
1.1%
37816
 
0.8%
40814
 
0.7%
45413
 
0.7%
42813
 
0.7%
39213
 
0.7%
35512
 
0.6%
41912
 
0.6%
40912
 
0.6%
37312
 
0.6%
Other values (463)1861
93.0%
ValueCountFrequency (%)
731
0.1%
811
0.1%
871
0.1%
881
0.1%
911
0.1%
ValueCountFrequency (%)
6401
0.1%
6291
0.1%
6231
0.1%
6172
0.1%
6161
0.1%

feature_97
Real number (ℝ≥0)

Distinct390
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305.8995
Minimum99
Maximum623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:50.468943image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile166.95
Q1244.75
median298
Q3362
95-th percentile463.05
Maximum623
Range524
Interquartile range (IQR)117.25

Descriptive statistics

Standard deviation88.72988728
Coefficient of variation (CV)0.2900622174
Kurtosis0.08192764711
Mean305.8995
Median Absolute Deviation (MAD)59
Skewness0.4331572903
Sum611799
Variance7872.992896
MonotonicityNot monotonic
2023-11-06T23:16:50.851367image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28818
 
0.9%
26516
 
0.8%
27316
 
0.8%
30815
 
0.8%
27815
 
0.8%
30615
 
0.8%
24914
 
0.7%
26913
 
0.7%
26413
 
0.7%
32113
 
0.7%
Other values (380)1852
92.6%
ValueCountFrequency (%)
991
0.1%
1111
0.1%
1141
0.1%
1181
0.1%
1211
0.1%
ValueCountFrequency (%)
6231
0.1%
6141
0.1%
6091
0.1%
6061
0.1%
6001
0.1%

feature_98
Real number (ℝ≥0)

Distinct352
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean768.7595
Minimum522
Maximum1047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:51.146001image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum522
5-th percentile641.95
Q1714
median774
Q3823
95-th percentile880.05
Maximum1047
Range525
Interquartile range (IQR)109

Descriptive statistics

Standard deviation76.7061704
Coefficient of variation (CV)0.09977915122
Kurtosis-0.01993001857
Mean768.7595
Median Absolute Deviation (MAD)53
Skewness0.003840418615
Sum1537519
Variance5883.836578
MonotonicityNot monotonic
2023-11-06T23:16:51.451584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80617
 
0.9%
77516
 
0.8%
78916
 
0.8%
74015
 
0.8%
82015
 
0.8%
83014
 
0.7%
82914
 
0.7%
81814
 
0.7%
83114
 
0.7%
69314
 
0.7%
Other values (342)1851
92.5%
ValueCountFrequency (%)
5221
0.1%
5571
0.1%
5631
0.1%
5731
0.1%
5741
0.1%
ValueCountFrequency (%)
10471
0.1%
10351
0.1%
10101
0.1%
10051
0.1%
9991
0.1%

feature_99
Real number (ℝ≥0)

Distinct494
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean711.34
Minimum460
Maximum1099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:51.738913image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum460
5-th percentile533
Q1611
median700
Q3800
95-th percentile932.05
Maximum1099
Range639
Interquartile range (IQR)189

Descriptive statistics

Standard deviation124.6729926
Coefficient of variation (CV)0.1752649824
Kurtosis-0.5738579343
Mean711.34
Median Absolute Deviation (MAD)94
Skewness0.3665862202
Sum1422680
Variance15543.35508
MonotonicityNot monotonic
2023-11-06T23:16:52.014764image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70210
 
0.5%
75310
 
0.5%
67710
 
0.5%
60210
 
0.5%
59410
 
0.5%
72710
 
0.5%
64110
 
0.5%
55110
 
0.5%
5959
 
0.4%
6999
 
0.4%
Other values (484)1902
95.1%
ValueCountFrequency (%)
4601
 
0.1%
4621
 
0.1%
4671
 
0.1%
4743
0.1%
4761
 
0.1%
ValueCountFrequency (%)
10991
 
0.1%
10704
0.2%
10571
 
0.1%
10531
 
0.1%
10442
0.1%

feature_100
Real number (ℝ≥0)

Distinct268
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean748.8825
Minimum554
Maximum921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:52.296201image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum554
5-th percentile657
Q1718
median752
Q3786
95-th percentile824
Maximum921
Range367
Interquartile range (IQR)68

Descriptive statistics

Standard deviation51.21982457
Coefficient of variation (CV)0.06839500799
Kurtosis0.4424117351
Mean748.8825
Median Absolute Deviation (MAD)34
Skewness-0.2755032298
Sum1497765
Variance2623.470429
MonotonicityNot monotonic
2023-11-06T23:16:52.613423image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75527
 
1.4%
78623
 
1.1%
75023
 
1.1%
74421
 
1.1%
73421
 
1.1%
73621
 
1.1%
74820
 
1.0%
78720
 
1.0%
75220
 
1.0%
75420
 
1.0%
Other values (258)1784
89.2%
ValueCountFrequency (%)
5541
0.1%
5691
0.1%
5701
0.1%
5722
0.1%
5921
0.1%
ValueCountFrequency (%)
9211
0.1%
9171
0.1%
9081
0.1%
9051
0.1%
9041
0.1%

feature_101
Real number (ℝ≥0)

Distinct394
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean947.641
Minimum618
Maximum1148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:53.043340image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum618
5-th percentile769
Q1886
median975
Q31019
95-th percentile1065
Maximum1148
Range530
Interquartile range (IQR)133

Descriptive statistics

Standard deviation93.32221406
Coefficient of variation (CV)0.09847844707
Kurtosis0.03310832692
Mean947.641
Median Absolute Deviation (MAD)57
Skewness-0.818203189
Sum1895282
Variance8709.035637
MonotonicityNot monotonic
2023-11-06T23:16:53.333389image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101520
 
1.0%
100918
 
0.9%
100617
 
0.9%
98716
 
0.8%
99516
 
0.8%
97115
 
0.8%
102515
 
0.8%
102314
 
0.7%
99314
 
0.7%
101214
 
0.7%
Other values (384)1841
92.0%
ValueCountFrequency (%)
6181
0.1%
6271
0.1%
6371
0.1%
6431
0.1%
6451
0.1%
ValueCountFrequency (%)
11481
0.1%
11391
0.1%
11042
0.1%
11011
0.1%
10981
0.1%

feature_102
Real number (ℝ≥0)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.32
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:53.789777image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q117
median21
Q329
95-th percentile37
Maximum41
Range38
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.848205771
Coefficient of variation (CV)0.3964249898
Kurtosis-0.7562241772
Mean22.32
Median Absolute Deviation (MAD)7
Skewness-0.01772070635
Sum44640
Variance78.29074537
MonotonicityNot monotonic
2023-11-06T23:16:54.147223image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20162
 
8.1%
19132
 
6.6%
21116
 
5.8%
18115
 
5.8%
2881
 
4.0%
3667
 
3.4%
2666
 
3.3%
2965
 
3.2%
3263
 
3.1%
1660
 
3.0%
Other values (29)1073
53.6%
ValueCountFrequency (%)
311
 
0.5%
425
1.2%
517
0.9%
623
1.1%
741
2.1%
ValueCountFrequency (%)
412
 
0.1%
408
 
0.4%
3914
 
0.7%
3835
1.8%
3748
2.4%

feature_103
Real number (ℝ≥0)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.183
Minimum0
Maximum43
Zeros5
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:54.438305image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q115
median20
Q327
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.036943298
Coefficient of variation (CV)0.4266130056
Kurtosis-0.472002454
Mean21.183
Median Absolute Deviation (MAD)6
Skewness0.2179506554
Sum42366
Variance81.66634417
MonotonicityNot monotonic
2023-11-06T23:16:54.696363image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
21116
 
5.8%
19107
 
5.3%
1795
 
4.8%
1893
 
4.7%
2090
 
4.5%
1687
 
4.3%
1586
 
4.3%
2480
 
4.0%
2273
 
3.6%
2569
 
3.5%
Other values (34)1104
55.2%
ValueCountFrequency (%)
05
0.2%
110
0.5%
28
0.4%
311
0.5%
42
 
0.1%
ValueCountFrequency (%)
431
 
0.1%
422
 
0.1%
4117
0.9%
4024
1.2%
3938
1.9%

feature_104
Real number (ℝ≥0)

Distinct46
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.682
Minimum0
Maximum45
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:54.962418image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median23
Q330
95-th percentile39
Maximum45
Range45
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.20150047
Coefficient of variation (CV)0.5166267167
Kurtosis-1.063298113
Mean21.682
Median Absolute Deviation (MAD)9
Skewness-0.1403469748
Sum43364
Variance125.4736128
MonotonicityNot monotonic
2023-11-06T23:16:55.231048image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3097
 
4.9%
2684
 
4.2%
3175
 
3.8%
2974
 
3.7%
866
 
3.3%
966
 
3.3%
2866
 
3.3%
2761
 
3.0%
2560
 
3.0%
3258
 
2.9%
Other values (36)1293
64.6%
ValueCountFrequency (%)
011
 
0.5%
137
1.8%
235
1.8%
330
1.5%
435
1.8%
ValueCountFrequency (%)
453
 
0.1%
441
 
0.1%
437
 
0.4%
4210
0.5%
4120
1.0%

feature_105
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.135
Minimum0
Maximum23
Zeros107
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:55.480048image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q311
95-th percentile15
Maximum23
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.81875349
Coefficient of variation (CV)0.5923483085
Kurtosis-0.6839011598
Mean8.135
Median Absolute Deviation (MAD)3
Skewness-0.07923895636
Sum16270
Variance23.22038519
MonotonicityNot monotonic
2023-11-06T23:16:55.695682image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9219
10.9%
10208
10.4%
11195
9.8%
1193
9.7%
8181
 
9.0%
12123
 
6.2%
2116
 
5.8%
13113
 
5.7%
0107
 
5.3%
1483
 
4.2%
Other values (13)462
23.1%
ValueCountFrequency (%)
0107
5.3%
1193
9.7%
2116
5.8%
369
 
3.5%
462
 
3.1%
ValueCountFrequency (%)
231
 
0.1%
216
 
0.3%
209
0.4%
1913
0.7%
1815
0.8%

feature_106
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.7385
Minimum0
Maximum21
Zeros36
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:55.895901image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median11
Q314
95-th percentile18
Maximum21
Range21
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.779491555
Coefficient of variation (CV)0.4450799976
Kurtosis-0.3877107751
Mean10.7385
Median Absolute Deviation (MAD)3
Skewness-0.3863241838
Sum21477
Variance22.84353952
MonotonicityNot monotonic
2023-11-06T23:16:56.112389image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10201
 
10.1%
11184
 
9.2%
9177
 
8.8%
12163
 
8.2%
13142
 
7.1%
15121
 
6.0%
16116
 
5.8%
14116
 
5.8%
8114
 
5.7%
1795
 
4.8%
Other values (12)571
28.5%
ValueCountFrequency (%)
036
 
1.8%
191
4.5%
242
2.1%
347
2.4%
430
 
1.5%
ValueCountFrequency (%)
211
 
0.1%
2016
 
0.8%
1940
2.0%
1887
4.3%
1795
4.8%

feature_107
Real number (ℝ≥0)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.1935
Minimum2
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:56.359643image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q110
median14
Q317
95-th percentile19
Maximum21
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.445665273
Coefficient of variation (CV)0.3369587504
Kurtosis-0.7859914265
Mean13.1935
Median Absolute Deviation (MAD)3
Skewness-0.531811857
Sum26387
Variance19.76393972
MonotonicityNot monotonic
2023-11-06T23:16:56.562884image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
17282
14.1%
16212
10.6%
18212
10.6%
11150
 
7.5%
15116
 
5.8%
12116
 
5.8%
10114
 
5.7%
19113
 
5.7%
13113
 
5.7%
995
 
4.8%
Other values (10)477
23.8%
ValueCountFrequency (%)
23
 
0.1%
330
1.5%
454
2.7%
546
2.3%
662
3.1%
ValueCountFrequency (%)
211
 
0.1%
2027
 
1.4%
19113
5.7%
18212
10.6%
17282
14.1%

feature_108
Real number (ℝ≥0)

Distinct450
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355.3445
Minimum128
Maximum643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:57.057277image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum128
5-th percentile192
Q1267
median353.5
Q3425
95-th percentile541
Maximum643
Range515
Interquartile range (IQR)158

Descriptive statistics

Standard deviation106.8785963
Coefficient of variation (CV)0.3007745899
Kurtosis-0.6418710015
Mean355.3445
Median Absolute Deviation (MAD)81
Skewness0.2473415502
Sum710689
Variance11423.03434
MonotonicityNot monotonic
2023-11-06T23:16:57.540185image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39515
 
0.8%
32014
 
0.7%
25813
 
0.7%
24813
 
0.7%
23112
 
0.6%
36612
 
0.6%
34212
 
0.6%
44912
 
0.6%
33811
 
0.5%
39911
 
0.5%
Other values (440)1875
93.8%
ValueCountFrequency (%)
1281
0.1%
1291
0.1%
1341
0.1%
1361
0.1%
1381
0.1%
ValueCountFrequency (%)
6431
0.1%
6331
0.1%
6292
0.1%
6221
0.1%
6211
0.1%

feature_109
Real number (ℝ≥0)

Distinct342
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.2215
Minimum110
Maximum549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:57.913352image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile156.95
Q1216.75
median270
Q3323
95-th percentile409
Maximum549
Range439
Interquartile range (IQR)106.25

Descriptive statistics

Standard deviation76.75359272
Coefficient of variation (CV)0.2809207647
Kurtosis-0.2861920025
Mean273.2215
Median Absolute Deviation (MAD)53
Skewness0.3178803128
Sum546443
Variance5891.113995
MonotonicityNot monotonic
2023-11-06T23:16:58.186388image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31217
 
0.9%
26416
 
0.8%
28115
 
0.8%
28815
 
0.8%
22215
 
0.8%
29315
 
0.8%
18814
 
0.7%
22114
 
0.7%
32114
 
0.7%
29414
 
0.7%
Other values (332)1851
92.5%
ValueCountFrequency (%)
1101
 
0.1%
1111
 
0.1%
1143
0.1%
1202
0.1%
1212
0.1%
ValueCountFrequency (%)
5491
0.1%
5021
0.1%
4981
0.1%
4972
0.1%
4961
0.1%

feature_110
Real number (ℝ≥0)

Distinct590
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean756.9605
Minimum440
Maximum1268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:58.462155image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum440
5-th percentile530
Q1630.75
median753
Q3872
95-th percentile1012
Maximum1268
Range828
Interquartile range (IQR)241.25

Descriptive statistics

Standard deviation153.5100635
Coefficient of variation (CV)0.2027979842
Kurtosis-0.6716158281
Mean756.9605
Median Absolute Deviation (MAD)120
Skewness0.2409651889
Sum1513921
Variance23565.33961
MonotonicityNot monotonic
2023-11-06T23:16:58.743693image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89811
 
0.5%
66210
 
0.5%
59710
 
0.5%
7979
 
0.4%
7129
 
0.4%
8869
 
0.4%
9189
 
0.4%
8419
 
0.4%
6089
 
0.4%
5898
 
0.4%
Other values (580)1907
95.3%
ValueCountFrequency (%)
4401
0.1%
4551
0.1%
4591
0.1%
4621
0.1%
4641
0.1%
ValueCountFrequency (%)
12681
0.1%
12231
0.1%
12081
0.1%
11981
0.1%
11971
0.1%

feature_111
Real number (ℝ≥0)

Distinct297
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.899
Minimum574
Maximum1043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:59.012453image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum574
5-th percentile680
Q1769.75
median818
Q3849
95-th percentile882
Maximum1043
Range469
Interquartile range (IQR)79.25

Descriptive statistics

Standard deviation62.61193917
Coefficient of variation (CV)0.07788533033
Kurtosis0.2684048724
Mean803.899
Median Absolute Deviation (MAD)36
Skewness-0.7575355209
Sum1607798
Variance3920.254926
MonotonicityNot monotonic
2023-11-06T23:16:59.296324image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85823
 
1.1%
84423
 
1.1%
85022
 
1.1%
81621
 
1.1%
84721
 
1.1%
83721
 
1.1%
84521
 
1.1%
83221
 
1.1%
83320
 
1.0%
84619
 
0.9%
Other values (287)1788
89.4%
ValueCountFrequency (%)
5741
0.1%
5961
0.1%
6051
0.1%
6081
0.1%
6121
0.1%
ValueCountFrequency (%)
10431
0.1%
9701
0.1%
9522
0.1%
9491
0.1%
9471
0.1%

feature_112
Real number (ℝ≥0)

Distinct407
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean952.4655
Minimum617
Maximum1135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:16:59.612694image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum617
5-th percentile744
Q1905
median979
Q31024
95-th percentile1071
Maximum1135
Range518
Interquartile range (IQR)119

Descriptive statistics

Standard deviation99.81616825
Coefficient of variation (CV)0.1047976732
Kurtosis0.361380461
Mean952.4655
Median Absolute Deviation (MAD)53
Skewness-1.009243227
Sum1904931
Variance9963.267443
MonotonicityNot monotonic
2023-11-06T23:16:59.920619image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100922
 
1.1%
99718
 
0.9%
98718
 
0.9%
101216
 
0.8%
104116
 
0.8%
101016
 
0.8%
100016
 
0.8%
101915
 
0.8%
98915
 
0.8%
95515
 
0.8%
Other values (397)1833
91.6%
ValueCountFrequency (%)
6171
 
0.1%
6181
 
0.1%
6272
0.1%
6373
0.1%
6391
 
0.1%
ValueCountFrequency (%)
11351
0.1%
11291
0.1%
11121
0.1%
11111
0.1%
11101
0.1%

feature_113
Real number (ℝ≥0)

Distinct401
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean770.153
Minimum536
Maximum1099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:00.218946image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum536
5-th percentile626.95
Q1727.75
median765
Q3811
95-th percentile920.05
Maximum1099
Range563
Interquartile range (IQR)83.25

Descriptive statistics

Standard deviation81.68683468
Coefficient of variation (CV)0.1060657229
Kurtosis1.13243121
Mean770.153
Median Absolute Deviation (MAD)41
Skewness0.3778355828
Sum1540306
Variance6672.73896
MonotonicityNot monotonic
2023-11-06T23:17:00.594669image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76821
 
1.1%
77220
 
1.0%
75120
 
1.0%
76219
 
0.9%
76119
 
0.9%
75319
 
0.9%
73817
 
0.9%
77017
 
0.9%
76517
 
0.9%
75817
 
0.9%
Other values (391)1814
90.7%
ValueCountFrequency (%)
5361
0.1%
5431
0.1%
5461
0.1%
5471
0.1%
5551
0.1%
ValueCountFrequency (%)
10991
0.1%
10801
0.1%
10731
0.1%
10641
0.1%
10611
0.1%

feature_114
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.344
Minimum0
Maximum43
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:00.880296image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median20
Q328
95-th percentile36
Maximum43
Range43
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.412006
Coefficient of variation (CV)0.5382550661
Kurtosis-0.9430183923
Mean19.344
Median Absolute Deviation (MAD)8
Skewness-0.04501111709
Sum38688
Variance108.4098689
MonotonicityNot monotonic
2023-11-06T23:17:01.128394image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2692
 
4.6%
2781
 
4.0%
881
 
4.0%
2876
 
3.8%
3074
 
3.7%
2970
 
3.5%
1870
 
3.5%
2367
 
3.4%
3165
 
3.2%
1064
 
3.2%
Other values (34)1260
63.0%
ValueCountFrequency (%)
025
1.2%
143
2.1%
234
1.7%
344
2.2%
444
2.2%
ValueCountFrequency (%)
434
 
0.2%
426
 
0.3%
4115
0.8%
4012
0.6%
3918
0.9%

feature_115
Real number (ℝ≥0)

Distinct30
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.292
Minimum2
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:01.362322image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q117
median21
Q324
95-th percentile28
Maximum32
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.812412665
Coefficient of variation (CV)0.2371581246
Kurtosis-0.01843656617
Mean20.292
Median Absolute Deviation (MAD)3
Skewness-0.3393475579
Sum40584
Variance23.15931566
MonotonicityNot monotonic
2023-11-06T23:17:01.579224image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
23188
 
9.4%
22183
 
9.2%
24171
 
8.6%
21157
 
7.8%
20148
 
7.4%
18143
 
7.1%
19115
 
5.8%
17115
 
5.8%
2597
 
4.9%
1696
 
4.8%
Other values (20)587
29.3%
ValueCountFrequency (%)
21
 
0.1%
41
 
0.1%
52
 
0.1%
64
0.2%
76
0.3%
ValueCountFrequency (%)
327
 
0.4%
3112
 
0.6%
3024
1.2%
2920
1.0%
2843
2.1%

feature_116
Real number (ℝ≥0)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.267
Minimum0
Maximum40
Zeros16
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:01.838176image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median21
Q329
95-th percentile36
Maximum40
Range40
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.38463439
Coefficient of variation (CV)0.5123912955
Kurtosis-0.9723741733
Mean20.267
Median Absolute Deviation (MAD)8
Skewness-0.1829941372
Sum40534
Variance107.8406313
MonotonicityNot monotonic
2023-11-06T23:17:02.078093image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2987
 
4.3%
3078
 
3.9%
2476
 
3.8%
2671
 
3.5%
2070
 
3.5%
1669
 
3.5%
2367
 
3.4%
3164
 
3.2%
2263
 
3.1%
1961
 
3.0%
Other values (31)1294
64.7%
ValueCountFrequency (%)
016
 
0.8%
152
2.6%
241
2.1%
333
1.7%
438
1.9%
ValueCountFrequency (%)
4013
 
0.7%
3916
0.8%
3821
1.1%
3739
1.9%
3625
1.2%

feature_117
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.32
Minimum2
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:02.331211image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q314
95-th percentile16
Maximum20
Range18
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.761871321
Coefficient of variation (CV)0.3645224149
Kurtosis-1.113844601
Mean10.32
Median Absolute Deviation (MAD)3
Skewness-0.1166843362
Sum20640
Variance14.15167584
MonotonicityNot monotonic
2023-11-06T23:17:02.534886image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
14240
12.0%
13228
11.4%
7182
9.1%
6175
8.8%
12161
8.1%
8159
8.0%
15152
7.6%
9122
 
6.1%
11121
 
6.0%
5121
 
6.0%
Other values (8)339
17.0%
ValueCountFrequency (%)
210
 
0.5%
325
 
1.2%
475
3.8%
5121
6.0%
6175
8.8%
ValueCountFrequency (%)
201
 
0.1%
1811
 
0.5%
1743
 
2.1%
1665
3.2%
15152
7.6%

feature_118
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1895
Minimum0
Maximum22
Zeros72
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:02.761063image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q314
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.533796274
Coefficient of variation (CV)0.6021868735
Kurtosis-1.037663532
Mean9.1895
Median Absolute Deviation (MAD)4
Skewness-0.01051801624
Sum18379
Variance30.6229012
MonotonicityNot monotonic
2023-11-06T23:17:02.961299image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10166
 
8.3%
1157
 
7.8%
11130
 
6.5%
9128
 
6.4%
2126
 
6.3%
8123
 
6.2%
12115
 
5.8%
13103
 
5.1%
3102
 
5.1%
16101
 
5.1%
Other values (13)749
37.5%
ValueCountFrequency (%)
072
3.6%
1157
7.8%
2126
6.3%
3102
5.1%
473
3.6%
ValueCountFrequency (%)
221
 
0.1%
2110
 
0.5%
2020
 
1.0%
1935
1.8%
1861
3.0%

feature_119
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7675
Minimum0
Maximum23
Zeros160
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:03.277694image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q310
95-th percentile18
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.43426254
Coefficient of variation (CV)0.8029940953
Kurtosis-0.193974544
Mean6.7675
Median Absolute Deviation (MAD)4
Skewness0.6777770088
Sum13535
Variance29.53120935
MonotonicityNot monotonic
2023-11-06T23:17:03.512084image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1302
15.1%
2198
9.9%
9189
9.4%
10178
8.9%
8175
 
8.8%
0160
 
8.0%
3107
 
5.3%
1196
 
4.8%
678
 
3.9%
775
 
3.8%
Other values (14)442
22.1%
ValueCountFrequency (%)
0160
8.0%
1302
15.1%
2198
9.9%
3107
 
5.3%
471
 
3.5%
ValueCountFrequency (%)
232
 
0.1%
227
 
0.4%
2115
0.8%
2029
1.5%
1936
1.8%

feature_120
Real number (ℝ≥0)

Distinct279
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319.9235
Minimum137
Maximum479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:03.744835image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum137
5-th percentile226
Q1283
median319
Q3358
95-th percentile412.05
Maximum479
Range342
Interquartile range (IQR)75

Descriptive statistics

Standard deviation55.8813118
Coefficient of variation (CV)0.1746708566
Kurtosis-0.04989096673
Mean319.9235
Median Absolute Deviation (MAD)37
Skewness-0.06583579306
Sum639847
Variance3122.721008
MonotonicityNot monotonic
2023-11-06T23:17:04.011932image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28121
 
1.1%
29720
 
1.0%
30720
 
1.0%
30220
 
1.0%
34119
 
0.9%
33019
 
0.9%
29919
 
0.9%
31018
 
0.9%
28318
 
0.9%
31918
 
0.9%
Other values (269)1808
90.4%
ValueCountFrequency (%)
1371
0.1%
1461
0.1%
1481
0.1%
1541
0.1%
1572
0.1%
ValueCountFrequency (%)
4791
0.1%
4731
0.1%
4701
0.1%
4692
0.1%
4671
0.1%

feature_121
Real number (ℝ≥0)

Distinct341
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.9905
Minimum98
Maximum666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:04.278656image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile187
Q1255
median304
Q3352
95-th percentile424
Maximum666
Range568
Interquartile range (IQR)97

Descriptive statistics

Standard deviation72.03478267
Coefficient of variation (CV)0.2369639271
Kurtosis0.1310836664
Mean303.9905
Median Absolute Deviation (MAD)48.5
Skewness0.1540307475
Sum607981
Variance5189.009915
MonotonicityNot monotonic
2023-11-06T23:17:04.561909image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26122
 
1.1%
29820
 
1.0%
30717
 
0.9%
26717
 
0.9%
29616
 
0.8%
31616
 
0.8%
25716
 
0.8%
27015
 
0.8%
33415
 
0.8%
28714
 
0.7%
Other values (331)1832
91.6%
ValueCountFrequency (%)
981
0.1%
1071
0.1%
1101
0.1%
1151
0.1%
1181
0.1%
ValueCountFrequency (%)
6661
0.1%
5561
0.1%
5441
0.1%
5241
0.1%
5091
0.1%

feature_122
Real number (ℝ≥0)

Distinct548
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620.4715
Minimum362
Maximum1114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:04.845268image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum362
5-th percentile421
Q1500.75
median608.5
Q3726
95-th percentile860.05
Maximum1114
Range752
Interquartile range (IQR)225.25

Descriptive statistics

Standard deviation140.9247994
Coefficient of variation (CV)0.2271253384
Kurtosis-0.576433084
Mean620.4715
Median Absolute Deviation (MAD)112.5
Skewness0.3771454207
Sum1240943
Variance19859.79909
MonotonicityNot monotonic
2023-11-06T23:17:05.144188image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44212
 
0.6%
68712
 
0.6%
47910
 
0.5%
55710
 
0.5%
73610
 
0.5%
43510
 
0.5%
46410
 
0.5%
5389
 
0.4%
5619
 
0.4%
6769
 
0.4%
Other values (538)1899
95.0%
ValueCountFrequency (%)
3621
0.1%
3671
0.1%
3722
0.1%
3731
0.1%
3761
0.1%
ValueCountFrequency (%)
11141
0.1%
10691
0.1%
10541
0.1%
10441
0.1%
10431
0.1%

feature_123
Real number (ℝ≥0)

Distinct398
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.307
Minimum459
Maximum1082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:05.439550image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum459
5-th percentile597
Q1664
median716
Q3789
95-th percentile882.05
Maximum1082
Range623
Interquartile range (IQR)125

Descriptive statistics

Standard deviation88.86473553
Coefficient of variation (CV)0.1221832535
Kurtosis-0.01073743232
Mean727.307
Median Absolute Deviation (MAD)59.5
Skewness0.3981764338
Sum1454614
Variance7896.941222
MonotonicityNot monotonic
2023-11-06T23:17:05.728120image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68120
 
1.0%
68916
 
0.8%
72714
 
0.7%
67314
 
0.7%
69814
 
0.7%
70314
 
0.7%
70414
 
0.7%
72213
 
0.7%
62813
 
0.7%
71113
 
0.7%
Other values (388)1855
92.8%
ValueCountFrequency (%)
4591
0.1%
5041
0.1%
5081
0.1%
5101
0.1%
5161
0.1%
ValueCountFrequency (%)
10821
0.1%
10351
0.1%
10281
0.1%
10161
0.1%
10071
0.1%

feature_124
Real number (ℝ≥0)

Distinct411
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean868.6855
Minimum523
Maximum1045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:06.020092image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum523
5-th percentile660.95
Q1818
median895
Q3943
95-th percentile991
Maximum1045
Range522
Interquartile range (IQR)125

Descriptive statistics

Standard deviation101.5045525
Coefficient of variation (CV)0.116848448
Kurtosis0.06762035967
Mean868.6855
Median Absolute Deviation (MAD)56
Skewness-0.9245696758
Sum1737371
Variance10303.17418
MonotonicityNot monotonic
2023-11-06T23:17:06.411444image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92917
 
0.9%
94616
 
0.8%
90815
 
0.8%
92515
 
0.8%
88515
 
0.8%
88914
 
0.7%
93914
 
0.7%
97814
 
0.7%
93514
 
0.7%
91814
 
0.7%
Other values (401)1852
92.6%
ValueCountFrequency (%)
5231
0.1%
5481
0.1%
5511
0.1%
5592
0.1%
5601
0.1%
ValueCountFrequency (%)
10451
0.1%
10441
0.1%
10431
0.1%
10321
0.1%
10291
0.1%

feature_125
Real number (ℝ≥0)

Distinct374
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean717.641
Minimum499
Maximum1035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:06.711899image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum499
5-th percentile591.95
Q1658
median725
Q3770
95-th percentile841
Maximum1035
Range536
Interquartile range (IQR)112

Descriptive statistics

Standard deviation79.84249828
Coefficient of variation (CV)0.1112568795
Kurtosis0.2514513096
Mean717.641
Median Absolute Deviation (MAD)55
Skewness0.1645967744
Sum1435282
Variance6374.824531
MonotonicityNot monotonic
2023-11-06T23:17:07.026928image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74620
 
1.0%
75419
 
0.9%
74417
 
0.9%
70516
 
0.8%
74816
 
0.8%
78715
 
0.8%
75615
 
0.8%
72815
 
0.8%
76214
 
0.7%
76714
 
0.7%
Other values (364)1839
92.0%
ValueCountFrequency (%)
4991
0.1%
5021
0.1%
5062
0.1%
5091
0.1%
5172
0.1%
ValueCountFrequency (%)
10351
0.1%
10251
0.1%
10011
0.1%
9911
0.1%
9821
0.1%

feature_126
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.544
Minimum0
Maximum42
Zeros32
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:07.310291image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median19
Q326
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.05438259
Coefficient of variation (CV)0.5421906057
Kurtosis-0.9211903167
Mean18.544
Median Absolute Deviation (MAD)8
Skewness-0.0525287684
Sum37088
Variance101.0906093
MonotonicityNot monotonic
2023-11-06T23:17:07.561120image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2590
 
4.5%
2488
 
4.4%
2780
 
4.0%
979
 
4.0%
2879
 
4.0%
2374
 
3.7%
2970
 
3.5%
1567
 
3.4%
2666
 
3.3%
1963
 
3.1%
Other values (33)1244
62.2%
ValueCountFrequency (%)
032
1.6%
147
2.4%
242
2.1%
354
2.7%
445
2.2%
ValueCountFrequency (%)
422
 
0.1%
414
 
0.2%
4013
0.7%
3915
0.8%
3813
0.7%

feature_127
Real number (ℝ≥0)

Distinct32
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.642
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:07.793580image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q119
median23
Q327
95-th percentile30
Maximum35
Range33
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.311774042
Coefficient of variation (CV)0.2345982706
Kurtosis0.04994387662
Mean22.642
Median Absolute Deviation (MAD)4
Skewness-0.6039053066
Sum45284
Variance28.21494347
MonotonicityNot monotonic
2023-11-06T23:17:08.026489image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
25154
 
7.7%
23150
 
7.5%
24149
 
7.4%
27143
 
7.1%
21142
 
7.1%
26139
 
7.0%
22126
 
6.3%
29125
 
6.2%
19121
 
6.0%
28117
 
5.9%
Other values (22)634
31.7%
ValueCountFrequency (%)
21
 
0.1%
51
 
0.1%
63
0.1%
76
0.3%
86
0.3%
ValueCountFrequency (%)
352
 
0.1%
343
 
0.1%
335
 
0.2%
3217
0.9%
3139
1.9%

feature_128
Real number (ℝ≥0)

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.927
Minimum0
Maximum44
Zeros14
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:08.295304image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median16
Q324
95-th percentile35
Maximum44
Range44
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.682021575
Coefficient of variation (CV)0.5719868597
Kurtosis-0.5662276797
Mean16.927
Median Absolute Deviation (MAD)7
Skewness0.4409015053
Sum33854
Variance93.74154177
MonotonicityNot monotonic
2023-11-06T23:17:08.544826image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1094
 
4.7%
689
 
4.5%
1187
 
4.3%
1283
 
4.2%
1982
 
4.1%
1674
 
3.7%
871
 
3.5%
1871
 
3.5%
970
 
3.5%
1566
 
3.3%
Other values (35)1213
60.7%
ValueCountFrequency (%)
014
 
0.7%
120
1.0%
236
1.8%
342
2.1%
449
2.5%
ValueCountFrequency (%)
441
 
0.1%
433
 
0.1%
428
0.4%
418
0.4%
406
0.3%

feature_129
Real number (ℝ≥0)

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.834
Minimum0
Maximum24
Zeros16
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:08.778518image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median12
Q316
95-th percentile18
Maximum24
Range24
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.731028991
Coefficient of variation (CV)0.3997827439
Kurtosis-0.5433303736
Mean11.834
Median Absolute Deviation (MAD)4
Skewness-0.4157546369
Sum23668
Variance22.38263532
MonotonicityNot monotonic
2023-11-06T23:17:09.010020image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
16178
 
8.9%
11172
 
8.6%
17167
 
8.3%
10154
 
7.7%
15142
 
7.1%
18136
 
6.8%
9129
 
6.5%
13128
 
6.4%
12123
 
6.2%
14111
 
5.5%
Other values (13)560
28.0%
ValueCountFrequency (%)
016
 
0.8%
129
1.5%
245
2.2%
341
2.1%
438
1.9%
ValueCountFrequency (%)
241
 
0.1%
216
 
0.3%
2020
 
1.0%
1955
2.8%
18136
6.8%

feature_130
Real number (ℝ≥0)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6825
Minimum0
Maximum18
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:09.342768image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median10
Q312
95-th percentile14
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.820934701
Coefficient of variation (CV)0.2913436303
Kurtosis-0.1998076264
Mean9.6825
Median Absolute Deviation (MAD)2
Skewness-0.09112889289
Sum19365
Variance7.957672586
MonotonicityNot monotonic
2023-11-06T23:17:09.543401image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
11271
13.6%
10259
13.0%
12244
12.2%
9236
11.8%
7210
10.5%
8209
10.4%
6146
7.3%
13131
6.6%
1497
 
4.9%
552
 
2.6%
Other values (9)145
7.2%
ValueCountFrequency (%)
01
 
0.1%
13
 
0.1%
27
 
0.4%
318
0.9%
441
2.1%
ValueCountFrequency (%)
183
 
0.1%
179
 
0.4%
1616
 
0.8%
1547
2.4%
1497
4.9%

feature_131
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1785
Minimum0
Maximum25
Zeros31
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:09.777422image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q315
95-th percentile17
Maximum25
Range25
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.128624489
Coefficient of variation (CV)0.503868398
Kurtosis-0.9222899533
Mean10.1785
Median Absolute Deviation (MAD)4
Skewness0.02975400741
Sum20357
Variance26.30278914
MonotonicityNot monotonic
2023-11-06T23:17:10.009830image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
14211
10.5%
15196
 
9.8%
7176
 
8.8%
6173
 
8.6%
16160
 
8.0%
5157
 
7.8%
13117
 
5.9%
8114
 
5.7%
498
 
4.9%
1292
 
4.6%
Other values (16)506
25.3%
ValueCountFrequency (%)
031
 
1.6%
143
2.1%
245
2.2%
359
2.9%
498
4.9%
ValueCountFrequency (%)
252
 
0.1%
245
 
0.2%
235
 
0.2%
227
0.4%
2113
0.7%

feature_132
Real number (ℝ≥0)

Distinct364
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.0175
Minimum87
Maximum553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:10.262257image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile187
Q1246
median287
Q3345
95-th percentile471
Maximum553
Range466
Interquartile range (IQR)99

Descriptive statistics

Standard deviation83.25275193
Coefficient of variation (CV)0.2756553906
Kurtosis0.04836296915
Mean302.0175
Median Absolute Deviation (MAD)47
Skewness0.6770963349
Sum604035
Variance6931.020704
MonotonicityNot monotonic
2023-11-06T23:17:10.560511image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26120
 
1.0%
28619
 
0.9%
29619
 
0.9%
29219
 
0.9%
26617
 
0.9%
26916
 
0.8%
29516
 
0.8%
27516
 
0.8%
28116
 
0.8%
28516
 
0.8%
Other values (354)1826
91.3%
ValueCountFrequency (%)
871
0.1%
921
0.1%
1112
0.1%
1141
0.1%
1282
0.1%
ValueCountFrequency (%)
5531
0.1%
5421
0.1%
5381
0.1%
5321
0.1%
5271
0.1%

feature_133
Real number (ℝ≥0)

Distinct349
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.7735
Minimum96
Maximum548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:10.828313image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile154
Q1212
median269
Q3333.25
95-th percentile411.05
Maximum548
Range452
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation79.72767053
Coefficient of variation (CV)0.2901577864
Kurtosis-0.6327001771
Mean274.7735
Median Absolute Deviation (MAD)60
Skewness0.2355890339
Sum549547
Variance6356.501448
MonotonicityNot monotonic
2023-11-06T23:17:11.093688image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25515
 
0.8%
22115
 
0.8%
22415
 
0.8%
24614
 
0.7%
24214
 
0.7%
30614
 
0.7%
33613
 
0.7%
24413
 
0.7%
20113
 
0.7%
31912
 
0.6%
Other values (339)1862
93.1%
ValueCountFrequency (%)
961
0.1%
1041
0.1%
1081
0.1%
1111
0.1%
1121
0.1%
ValueCountFrequency (%)
5481
0.1%
4981
0.1%
4941
0.1%
4861
0.1%
4851
0.1%

feature_134
Real number (ℝ≥0)

Distinct590
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean841.9385
Minimum523
Maximum1353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:11.383988image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum523
5-th percentile615
Q1715.75
median838
Q3957
95-th percentile1097
Maximum1353
Range830
Interquartile range (IQR)241.25

Descriptive statistics

Standard deviation153.5115814
Coefficient of variation (CV)0.1823311102
Kurtosis-0.6713492355
Mean841.9385
Median Absolute Deviation (MAD)120
Skewness0.2410676114
Sum1683877
Variance23565.80562
MonotonicityNot monotonic
2023-11-06T23:17:11.659531image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98311
 
0.5%
74710
 
0.5%
68210
 
0.5%
9719
 
0.4%
7979
 
0.4%
6939
 
0.4%
10039
 
0.4%
8829
 
0.4%
9269
 
0.4%
7728
 
0.4%
Other values (580)1907
95.3%
ValueCountFrequency (%)
5231
0.1%
5401
0.1%
5441
0.1%
5471
0.1%
5491
0.1%
ValueCountFrequency (%)
13531
0.1%
13081
0.1%
12931
0.1%
12831
0.1%
12821
0.1%

feature_135
Real number (ℝ≥0)

Distinct441
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.061
Minimum576
Maximum1124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:11.945640image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum576
5-th percentile632
Q1694.75
median760
Q3844
95-th percentile972.05
Maximum1124
Range548
Interquartile range (IQR)149.25

Descriptive statistics

Standard deviation105.3231397
Coefficient of variation (CV)0.1357150272
Kurtosis-0.1992583254
Mean776.061
Median Absolute Deviation (MAD)72.5
Skewness0.5988278781
Sum1552122
Variance11092.96376
MonotonicityNot monotonic
2023-11-06T23:17:12.334646image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71116
 
0.8%
68315
 
0.8%
75815
 
0.8%
70914
 
0.7%
77714
 
0.7%
72414
 
0.7%
69814
 
0.7%
69613
 
0.7%
69113
 
0.7%
76813
 
0.7%
Other values (431)1859
93.0%
ValueCountFrequency (%)
5761
0.1%
5781
0.1%
5811
0.1%
5861
0.1%
5881
0.1%
ValueCountFrequency (%)
11241
0.1%
11141
0.1%
11061
0.1%
11041
0.1%
10971
0.1%

feature_136
Real number (ℝ≥0)

Distinct335
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean680.3145
Minimum460
Maximum917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:12.623058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum460
5-th percentile551
Q1635
median688
Q3732
95-th percentile783
Maximum917
Range457
Interquartile range (IQR)97

Descriptive statistics

Standard deviation71.55399763
Coefficient of variation (CV)0.1051778224
Kurtosis-0.1831950852
Mean680.3145
Median Absolute Deviation (MAD)48
Skewness-0.2365256717
Sum1360629
Variance5119.974577
MonotonicityNot monotonic
2023-11-06T23:17:12.927297image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66023
 
1.1%
64419
 
0.9%
67417
 
0.9%
71816
 
0.8%
69816
 
0.8%
67216
 
0.8%
72016
 
0.8%
74916
 
0.8%
69616
 
0.8%
70315
 
0.8%
Other values (325)1830
91.5%
ValueCountFrequency (%)
4601
0.1%
4621
0.1%
4831
0.1%
4851
0.1%
4891
0.1%
ValueCountFrequency (%)
9171
0.1%
8942
0.1%
8781
0.1%
8771
0.1%
8752
0.1%

feature_137
Real number (ℝ≥0)

Distinct326
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732.681
Minimum538
Maximum961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:13.235935image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum538
5-th percentile613
Q1681
median742
Q3785
95-th percentile838.05
Maximum961
Range423
Interquartile range (IQR)104

Descriptive statistics

Standard deviation71.17438539
Coefficient of variation (CV)0.09714239265
Kurtosis-0.484332937
Mean732.681
Median Absolute Deviation (MAD)51
Skewness-0.1570564947
Sum1465362
Variance5065.793136
MonotonicityNot monotonic
2023-11-06T23:17:13.533430image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79319
 
0.9%
71418
 
0.9%
76817
 
0.9%
74617
 
0.9%
75417
 
0.9%
74217
 
0.9%
77216
 
0.8%
75516
 
0.8%
76316
 
0.8%
77015
 
0.8%
Other values (316)1832
91.6%
ValueCountFrequency (%)
5382
0.1%
5411
0.1%
5461
0.1%
5561
0.1%
5591
0.1%
ValueCountFrequency (%)
9611
0.1%
9571
0.1%
9301
0.1%
9291
0.1%
9231
0.1%

feature_138
Real number (ℝ≥0)

Distinct37
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.027
Minimum0
Maximum36
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:13.801830image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median17
Q325
95-th percentile30
Maximum36
Range36
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.616973161
Coefficient of variation (CV)0.4225313786
Kurtosis-0.8727567937
Mean18.027
Median Absolute Deviation (MAD)6
Skewness0.2025895008
Sum36054
Variance58.01828014
MonotonicityNot monotonic
2023-11-06T23:17:14.077297image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
11139
 
7.0%
12105
 
5.2%
10103
 
5.1%
13103
 
5.1%
15100
 
5.0%
2798
 
4.9%
1789
 
4.5%
1486
 
4.3%
1882
 
4.1%
978
 
3.9%
Other values (27)1017
50.8%
ValueCountFrequency (%)
01
 
0.1%
13
 
0.1%
211
0.5%
312
0.6%
413
0.7%
ValueCountFrequency (%)
366
 
0.3%
3514
0.7%
3410
0.5%
3322
1.1%
3217
0.9%

feature_139
Real number (ℝ≥0)

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.856
Minimum2
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:14.373829image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median19
Q326
95-th percentile32
Maximum36
Range34
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.324280616
Coefficient of variation (CV)0.368869894
Kurtosis-0.865243563
Mean19.856
Median Absolute Deviation (MAD)5
Skewness0.0906220682
Sum39712
Variance53.64508654
MonotonicityNot monotonic
2023-11-06T23:17:14.622833image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20122
 
6.1%
18121
 
6.0%
16114
 
5.7%
17101
 
5.1%
1598
 
4.9%
1992
 
4.6%
3090
 
4.5%
2290
 
4.5%
1077
 
3.9%
1474
 
3.7%
Other values (25)1021
51.0%
ValueCountFrequency (%)
21
 
0.1%
35
0.2%
44
0.2%
53
 
0.1%
69
0.4%
ValueCountFrequency (%)
361
 
0.1%
356
 
0.3%
3425
1.2%
3336
1.8%
3254
2.7%

feature_140
Real number (ℝ≥0)

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.959
Minimum2
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:14.937191image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q110
median14
Q324
95-th percentile32
Maximum36
Range34
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.300287127
Coefficient of variation (CV)0.4894325801
Kurtosis-0.7795477063
Mean16.959
Median Absolute Deviation (MAD)5
Skewness0.607848792
Sum33918
Variance68.89476638
MonotonicityNot monotonic
2023-11-06T23:17:15.198756image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
11146
 
7.3%
10144
 
7.2%
9139
 
7.0%
13130
 
6.5%
12120
 
6.0%
14109
 
5.5%
15100
 
5.0%
894
 
4.7%
2773
 
3.6%
1768
 
3.4%
Other values (25)877
43.9%
ValueCountFrequency (%)
27
 
0.4%
312
0.6%
418
0.9%
524
1.2%
625
1.2%
ValueCountFrequency (%)
3613
 
0.7%
3520
1.0%
3430
1.5%
3332
1.6%
3237
1.8%

feature_141
Real number (ℝ≥0)

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.364
Minimum0
Maximum23
Zeros17
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:15.563437image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median12
Q315
95-th percentile18
Maximum23
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.662764704
Coefficient of variation (CV)0.4103101641
Kurtosis-0.5536051154
Mean11.364
Median Absolute Deviation (MAD)3
Skewness-0.4705154425
Sum22728
Variance21.74137469
MonotonicityNot monotonic
2023-11-06T23:17:15.839805image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
15205
 
10.2%
16183
 
9.2%
14165
 
8.2%
10146
 
7.3%
17144
 
7.2%
11133
 
6.7%
12130
 
6.5%
9129
 
6.5%
8125
 
6.2%
13114
 
5.7%
Other values (13)526
26.3%
ValueCountFrequency (%)
017
 
0.9%
148
2.4%
244
2.2%
340
2.0%
440
2.0%
ValueCountFrequency (%)
231
 
0.1%
222
 
0.1%
209
 
0.4%
1932
1.6%
1865
3.2%

feature_142
Real number (ℝ≥0)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9925
Minimum0
Maximum18
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:16.063838image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median9
Q311
95-th percentile15
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.555525929
Coefficient of variation (CV)0.3953879265
Kurtosis-0.4541918843
Mean8.9925
Median Absolute Deviation (MAD)2
Skewness-0.2816621807
Sum17985
Variance12.64176463
MonotonicityNot monotonic
2023-11-06T23:17:16.283835image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9336
16.8%
10272
13.6%
11192
9.6%
8184
9.2%
12157
7.8%
4128
 
6.4%
13105
 
5.2%
14100
 
5.0%
592
 
4.6%
684
 
4.2%
Other values (9)350
17.5%
ValueCountFrequency (%)
02
 
0.1%
128
 
1.4%
267
3.4%
382
4.1%
4128
6.4%
ValueCountFrequency (%)
181
 
0.1%
178
 
0.4%
1628
 
1.4%
1573
3.6%
14100
5.0%

feature_143
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2915
Minimum0
Maximum22
Zeros128
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:16.537657image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q311
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.449346331
Coefficient of variation (CV)0.7473560078
Kurtosis-0.6954302281
Mean7.2915
Median Absolute Deviation (MAD)5
Skewness0.447760385
Sum14583
Variance29.69537544
MonotonicityNot monotonic
2023-11-06T23:17:16.766062image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1239
11.9%
2212
10.6%
10191
9.6%
9177
 
8.8%
11173
 
8.6%
3144
 
7.2%
0128
 
6.4%
1288
 
4.4%
888
 
4.4%
488
 
4.4%
Other values (13)472
23.6%
ValueCountFrequency (%)
0128
6.4%
1239
11.9%
2212
10.6%
3144
7.2%
488
 
4.4%
ValueCountFrequency (%)
222
 
0.1%
2110
 
0.5%
2019
 
0.9%
1936
1.8%
1848
2.4%

feature_144
Real number (ℝ≥0)

Distinct278
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.7305
Minimum156
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:17.063900image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile239
Q1282
median323
Q3373
95-th percentile432
Maximum519
Range363
Interquartile range (IQR)91

Descriptive statistics

Standard deviation60.4558047
Coefficient of variation (CV)0.1844680452
Kurtosis-0.5203406328
Mean327.7305
Median Absolute Deviation (MAD)45
Skewness0.2523154256
Sum655461
Variance3654.904322
MonotonicityNot monotonic
2023-11-06T23:17:17.346936image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29122
 
1.1%
29722
 
1.1%
28219
 
0.9%
29218
 
0.9%
30318
 
0.9%
31617
 
0.9%
33117
 
0.9%
32316
 
0.8%
28316
 
0.8%
28816
 
0.8%
Other values (268)1819
91.0%
ValueCountFrequency (%)
1561
0.1%
1822
0.1%
1831
0.1%
1871
0.1%
1881
0.1%
ValueCountFrequency (%)
5191
0.1%
5171
0.1%
5101
0.1%
5021
0.1%
5011
0.1%

feature_145
Real number (ℝ≥0)

Distinct434
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.6535
Minimum80
Maximum621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:17.673817image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile153
Q1206
median274
Q3365
95-th percentile490.05
Maximum621
Range541
Interquartile range (IQR)159

Descriptive statistics

Standard deviation106.4185223
Coefficient of variation (CV)0.3648799768
Kurtosis-0.4794828685
Mean291.6535
Median Absolute Deviation (MAD)77
Skewness0.5591656556
Sum583307
Variance11324.90189
MonotonicityNot monotonic
2023-11-06T23:17:18.050243image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30616
 
0.8%
36514
 
0.7%
22414
 
0.7%
16514
 
0.7%
27614
 
0.7%
18614
 
0.7%
16913
 
0.7%
20812
 
0.6%
18812
 
0.6%
21612
 
0.6%
Other values (424)1865
93.2%
ValueCountFrequency (%)
801
0.1%
951
0.1%
962
0.1%
991
0.1%
1011
0.1%
ValueCountFrequency (%)
6211
 
0.1%
5941
 
0.1%
5832
0.1%
5791
 
0.1%
5773
0.1%

feature_146
Real number (ℝ≥0)

Distinct501
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807.9815
Minimum561
Maximum1237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:18.324973image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum561
5-th percentile626
Q1701
median800
Q3903
95-th percentile1024.1
Maximum1237
Range676
Interquartile range (IQR)202

Descriptive statistics

Standard deviation126.6346964
Coefficient of variation (CV)0.1567296979
Kurtosis-0.6491004524
Mean807.9815
Median Absolute Deviation (MAD)101
Skewness0.2933600301
Sum1615963
Variance16036.34633
MonotonicityNot monotonic
2023-11-06T23:17:18.746800image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84313
 
0.7%
64312
 
0.6%
79912
 
0.6%
83411
 
0.5%
72811
 
0.5%
76110
 
0.5%
70510
 
0.5%
66510
 
0.5%
77610
 
0.5%
65110
 
0.5%
Other values (491)1891
94.5%
ValueCountFrequency (%)
5612
0.1%
5681
 
0.1%
5691
 
0.1%
5724
0.2%
5751
 
0.1%
ValueCountFrequency (%)
12371
0.1%
11961
0.1%
11891
0.1%
11691
0.1%
11661
0.1%

feature_147
Real number (ℝ≥0)

Distinct492
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean799.305
Minimum548
Maximum1187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:19.091932image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum548
5-th percentile621
Q1699
median788
Q3888
95-th percentile1020
Maximum1187
Range639
Interquartile range (IQR)189

Descriptive statistics

Standard deviation124.6553467
Coefficient of variation (CV)0.155954669
Kurtosis-0.573737376
Mean799.305
Median Absolute Deviation (MAD)94
Skewness0.3662917306
Sum1598610
Variance15538.95545
MonotonicityNot monotonic
2023-11-06T23:17:19.381970image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84111
 
0.5%
69010
 
0.5%
63910
 
0.5%
76510
 
0.5%
86610
 
0.5%
79010
 
0.5%
68210
 
0.5%
72910
 
0.5%
81510
 
0.5%
7849
 
0.4%
Other values (482)1900
95.0%
ValueCountFrequency (%)
5481
 
0.1%
5501
 
0.1%
5531
 
0.1%
5623
0.1%
5641
 
0.1%
ValueCountFrequency (%)
11871
 
0.1%
11584
0.2%
11451
 
0.1%
11411
 
0.1%
11322
0.1%

feature_148
Real number (ℝ≥0)

Distinct302
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.7535
Minimum468
Maximum911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:19.760303image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum468
5-th percentile603
Q1674
median735
Q3783
95-th percentile832
Maximum911
Range443
Interquartile range (IQR)109

Descriptive statistics

Standard deviation71.38718935
Coefficient of variation (CV)0.09809254006
Kurtosis-0.5695321781
Mean727.7535
Median Absolute Deviation (MAD)53
Skewness-0.299920346
Sum1455507
Variance5096.130803
MonotonicityNot monotonic
2023-11-06T23:17:20.084485image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75618
 
0.9%
74718
 
0.9%
73617
 
0.9%
81717
 
0.9%
76817
 
0.9%
74816
 
0.8%
64615
 
0.8%
76214
 
0.7%
76414
 
0.7%
72714
 
0.7%
Other values (292)1840
92.0%
ValueCountFrequency (%)
4681
0.1%
4981
0.1%
5031
0.1%
5172
0.1%
5201
0.1%
ValueCountFrequency (%)
9111
0.1%
9041
0.1%
8941
0.1%
8871
0.1%
8852
0.1%

feature_149
Real number (ℝ≥0)

Distinct355
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean684.513
Minimum498
Maximum977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:20.375129image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum498
5-th percentile554.95
Q1626
median694
Q3735
95-th percentile814
Maximum977
Range479
Interquartile range (IQR)109

Descriptive statistics

Standard deviation79.04330935
Coefficient of variation (CV)0.1154737884
Kurtosis-0.1394234748
Mean684.513
Median Absolute Deviation (MAD)51
Skewness0.1067497745
Sum1369026
Variance6247.844753
MonotonicityNot monotonic
2023-11-06T23:17:20.700635image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71221
 
1.1%
70217
 
0.9%
69017
 
0.9%
70417
 
0.9%
70016
 
0.8%
70316
 
0.8%
71416
 
0.8%
69816
 
0.8%
74115
 
0.8%
66715
 
0.8%
Other values (345)1834
91.7%
ValueCountFrequency (%)
4981
0.1%
5031
0.1%
5051
0.1%
5071
0.1%
5092
0.1%
ValueCountFrequency (%)
9771
0.1%
9711
0.1%
9372
0.1%
9231
0.1%
9191
0.1%

feature_150
Real number (ℝ≥0)

Distinct37
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.992
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:21.002683image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q111
median17
Q324
95-th percentile31
Maximum37
Range36
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.841982169
Coefficient of variation (CV)0.4358593914
Kurtosis-1.06388
Mean17.992
Median Absolute Deviation (MAD)7
Skewness0.2040737231
Sum35984
Variance61.49668434
MonotonicityNot monotonic
2023-11-06T23:17:21.362402image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
9125
 
6.2%
10103
 
5.1%
899
 
5.0%
1396
 
4.8%
1195
 
4.8%
2091
 
4.5%
2986
 
4.3%
1786
 
4.3%
2179
 
4.0%
775
 
3.8%
Other values (27)1065
53.2%
ValueCountFrequency (%)
11
 
0.1%
22
 
0.1%
38
0.4%
418
0.9%
511
0.5%
ValueCountFrequency (%)
372
 
0.1%
365
 
0.2%
356
 
0.3%
347
 
0.4%
3318
0.9%

feature_151
Real number (ℝ≥0)

Distinct32
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.266
Minimum5
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:21.660342image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q115
median20
Q325
95-th percentile33
Maximum36
Range31
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.213477742
Coefficient of variation (CV)0.3559398866
Kurtosis-0.6975855874
Mean20.266
Median Absolute Deviation (MAD)5
Skewness0.2486800775
Sum40532
Variance52.03426113
MonotonicityNot monotonic
2023-11-06T23:17:21.891523image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20119
 
5.9%
18119
 
5.9%
16114
 
5.7%
17105
 
5.2%
21100
 
5.0%
1499
 
5.0%
2299
 
5.0%
1599
 
5.0%
1997
 
4.9%
3283
 
4.2%
Other values (22)966
48.3%
ValueCountFrequency (%)
52
 
0.1%
613
 
0.7%
736
1.8%
841
2.1%
933
1.7%
ValueCountFrequency (%)
3612
 
0.6%
3526
 
1.3%
3431
 
1.6%
3355
2.8%
3283
4.2%

feature_152
Real number (ℝ≥0)

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.786
Minimum0
Maximum35
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:22.258689image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q111
median14
Q324
95-th percentile32
Maximum35
Range35
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.152879167
Coefficient of variation (CV)0.4856951726
Kurtosis-0.7577900214
Mean16.786
Median Absolute Deviation (MAD)5
Skewness0.5790891207
Sum33572
Variance66.46943872
MonotonicityNot monotonic
2023-11-06T23:17:22.509093image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
13154
 
7.7%
11139
 
7.0%
14128
 
6.4%
10124
 
6.2%
12120
 
6.0%
15118
 
5.9%
9109
 
5.5%
892
 
4.6%
1688
 
4.4%
2767
 
3.4%
Other values (25)861
43.0%
ValueCountFrequency (%)
01
 
0.1%
212
0.6%
318
0.9%
419
0.9%
520
1.0%
ValueCountFrequency (%)
3514
 
0.7%
3431
1.6%
3337
1.8%
3244
2.2%
3131
1.6%

feature_153
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.467
Minimum0
Maximum22
Zeros86
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:22.758283image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q312
95-th percentile16
Maximum22
Range22
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.796083007
Coefficient of variation (CV)0.5664441959
Kurtosis-0.7306903645
Mean8.467
Median Absolute Deviation (MAD)3
Skewness-0.1449136357
Sum16934
Variance23.00241221
MonotonicityNot monotonic
2023-11-06T23:17:23.026739image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10252
12.6%
11204
10.2%
9196
 
9.8%
1156
 
7.8%
12150
 
7.5%
2132
 
6.6%
8114
 
5.7%
13110
 
5.5%
798
 
4.9%
1491
 
4.5%
Other values (12)497
24.9%
ValueCountFrequency (%)
086
4.3%
1156
7.8%
2132
6.6%
386
4.3%
448
 
2.4%
ValueCountFrequency (%)
221
 
0.1%
207
 
0.4%
1917
0.9%
1827
1.4%
1730
1.5%

feature_154
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3545
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:23.310879image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.706440152
Coefficient of variation (CV)0.3962200173
Kurtosis-0.6245856902
Mean9.3545
Median Absolute Deviation (MAD)2
Skewness-0.379783193
Sum18709
Variance13.7376986
MonotonicityNot monotonic
2023-11-06T23:17:23.587983image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11252
12.6%
10236
11.8%
9190
9.5%
12185
9.2%
13155
7.8%
8146
7.3%
14141
 
7.0%
5115
 
5.8%
7113
 
5.7%
4107
 
5.3%
Other values (8)360
18.0%
ValueCountFrequency (%)
06
 
0.3%
125
 
1.2%
253
2.6%
390
4.5%
4107
5.3%
ValueCountFrequency (%)
176
 
0.3%
1642
 
2.1%
1577
3.9%
14141
7.0%
13155
7.8%

feature_155
Real number (ℝ≥0)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5595
Minimum0
Maximum24
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:23.792100image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111
median13
Q315
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.951742386
Coefficient of variation (CV)0.3146416964
Kurtosis0.5232119997
Mean12.5595
Median Absolute Deviation (MAD)2
Skewness-0.4851016571
Sum25119
Variance15.61626788
MonotonicityNot monotonic
2023-11-06T23:17:24.042281image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
14294
14.7%
13269
13.5%
15242
12.1%
12204
10.2%
16175
8.8%
11130
 
6.5%
1097
 
4.9%
976
 
3.8%
867
 
3.4%
761
 
3.0%
Other values (15)385
19.2%
ValueCountFrequency (%)
03
 
0.1%
19
 
0.4%
214
0.7%
325
1.2%
431
1.6%
ValueCountFrequency (%)
245
 
0.2%
234
 
0.2%
2212
0.6%
2119
0.9%
2027
1.4%

feature_156
Real number (ℝ≥0)

Distinct379
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316.5695
Minimum81
Maximum565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:24.354904image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile172.95
Q1254
median315
Q3382
95-th percentile456
Maximum565
Range484
Interquartile range (IQR)128

Descriptive statistics

Standard deviation86.05401685
Coefficient of variation (CV)0.2718329367
Kurtosis-0.4747704013
Mean316.5695
Median Absolute Deviation (MAD)64
Skewness-0.04561107612
Sum633139
Variance7405.293817
MonotonicityNot monotonic
2023-11-06T23:17:24.625460image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33617
 
0.9%
25816
 
0.8%
31416
 
0.8%
38715
 
0.8%
32115
 
0.8%
30615
 
0.8%
27514
 
0.7%
23814
 
0.7%
31314
 
0.7%
29914
 
0.7%
Other values (369)1850
92.5%
ValueCountFrequency (%)
811
0.1%
911
0.1%
952
0.1%
961
0.1%
1022
0.1%
ValueCountFrequency (%)
5651
0.1%
5451
0.1%
5441
0.1%
5381
0.1%
5361
0.1%

feature_157
Real number (ℝ≥0)

Distinct398
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.1375
Minimum95
Maximum614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:24.892085image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile186
Q1253
median304
Q3360.25
95-th percentile485.1
Maximum614
Range519
Interquartile range (IQR)107.25

Descriptive statistics

Standard deviation85.93423614
Coefficient of variation (CV)0.275308914
Kurtosis0.404843379
Mean312.1375
Median Absolute Deviation (MAD)53
Skewness0.5851331662
Sum624275
Variance7384.69294
MonotonicityNot monotonic
2023-11-06T23:17:25.440316image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27422
 
1.1%
31516
 
0.8%
31115
 
0.8%
31314
 
0.7%
28714
 
0.7%
28914
 
0.7%
29414
 
0.7%
33514
 
0.7%
29113
 
0.7%
27813
 
0.7%
Other values (388)1851
92.5%
ValueCountFrequency (%)
951
0.1%
971
0.1%
1021
0.1%
1101
0.1%
1131
0.1%
ValueCountFrequency (%)
6141
0.1%
6001
0.1%
5951
0.1%
5802
0.1%
5741
0.1%

feature_158
Real number (ℝ≥0)

Distinct357
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean615.5555
Minimum403
Maximum952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:25.764888image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum403
5-th percentile506
Q1555
median604.5
Q3668
95-th percentile761.05
Maximum952
Range549
Interquartile range (IQR)113

Descriptive statistics

Standard deviation80.25080071
Coefficient of variation (CV)0.1303713487
Kurtosis0.2742664731
Mean615.5555
Median Absolute Deviation (MAD)55.5
Skewness0.6255183716
Sum1231111
Variance6440.191015
MonotonicityNot monotonic
2023-11-06T23:17:26.024453image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53517
 
0.9%
57717
 
0.9%
60817
 
0.9%
65016
 
0.8%
54915
 
0.8%
58614
 
0.7%
65714
 
0.7%
56814
 
0.7%
53814
 
0.7%
56313
 
0.7%
Other values (347)1849
92.5%
ValueCountFrequency (%)
4031
0.1%
4371
0.1%
4441
0.1%
4451
0.1%
4471
0.1%
ValueCountFrequency (%)
9521
0.1%
9221
0.1%
9201
0.1%
9151
0.1%
9141
0.1%

feature_159
Real number (ℝ≥0)

Distinct403
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.847
Minimum470
Maximum1029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:26.291254image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum470
5-th percentile554
Q1602
median652
Q3745.25
95-th percentile848
Maximum1029
Range559
Interquartile range (IQR)143.25

Descriptive statistics

Standard deviation94.42785554
Coefficient of variation (CV)0.1399248356
Kurtosis-0.1685876074
Mean674.847
Median Absolute Deviation (MAD)62
Skewness0.6674722837
Sum1349694
Variance8916.619901
MonotonicityNot monotonic
2023-11-06T23:17:26.658742image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60121
 
1.1%
61217
 
0.9%
61116
 
0.8%
60415
 
0.8%
61915
 
0.8%
59115
 
0.8%
61615
 
0.8%
61815
 
0.8%
62115
 
0.8%
62215
 
0.8%
Other values (393)1841
92.0%
ValueCountFrequency (%)
4701
0.1%
4711
0.1%
4751
0.1%
4831
0.1%
4901
0.1%
ValueCountFrequency (%)
10291
0.1%
10181
0.1%
9941
0.1%
9861
0.1%
9811
0.1%

feature_160
Real number (ℝ≥0)

Distinct327
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean755.9615
Minimum454
Maximum967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:26.981651image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum454
5-th percentile630
Q1720
median763
Q3801.25
95-th percentile849
Maximum967
Range513
Interquartile range (IQR)81.25

Descriptive statistics

Standard deviation66.66240286
Coefficient of variation (CV)0.08818227233
Kurtosis0.7252015006
Mean755.9615
Median Absolute Deviation (MAD)40
Skewness-0.5773829777
Sum1511923
Variance4443.875956
MonotonicityNot monotonic
2023-11-06T23:17:27.274943image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78722
 
1.1%
78222
 
1.1%
76621
 
1.1%
80220
 
1.0%
75020
 
1.0%
80519
 
0.9%
74819
 
0.9%
73918
 
0.9%
78118
 
0.9%
74218
 
0.9%
Other values (317)1803
90.1%
ValueCountFrequency (%)
4541
0.1%
4821
0.1%
5251
0.1%
5271
0.1%
5371
0.1%
ValueCountFrequency (%)
9671
0.1%
9621
0.1%
9561
0.1%
9411
0.1%
9371
0.1%

feature_161
Real number (ℝ≥0)

Distinct449
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean928.871
Minimum555
Maximum1202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:27.558753image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile719
Q1859
median955
Q31010
95-th percentile1064
Maximum1202
Range647
Interquartile range (IQR)151

Descriptive statistics

Standard deviation109.1924212
Coefficient of variation (CV)0.1175539135
Kurtosis0.1770942704
Mean928.871
Median Absolute Deviation (MAD)67
Skewness-0.7887164489
Sum1857742
Variance11922.98485
MonotonicityNot monotonic
2023-11-06T23:17:27.869180image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100919
 
0.9%
103217
 
0.9%
99716
 
0.8%
99915
 
0.8%
102015
 
0.8%
100115
 
0.8%
100315
 
0.8%
97314
 
0.7%
93114
 
0.7%
99614
 
0.7%
Other values (439)1846
92.3%
ValueCountFrequency (%)
5551
0.1%
5601
0.1%
5631
0.1%
5711
0.1%
5821
0.1%
ValueCountFrequency (%)
12021
0.1%
11721
0.1%
11711
0.1%
11601
0.1%
11561
0.1%

feature_162
Real number (ℝ≥0)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.153
Minimum0
Maximum43
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:28.167215image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median17
Q322
95-th percentile32
Maximum43
Range43
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.260188034
Coefficient of variation (CV)0.4815593793
Kurtosis-0.1597490665
Mean17.153
Median Absolute Deviation (MAD)5
Skewness0.4157259728
Sum34306
Variance68.23070635
MonotonicityNot monotonic
2023-11-06T23:17:28.432548image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20108
 
5.4%
14103
 
5.1%
18102
 
5.1%
1696
 
4.8%
1796
 
4.8%
1996
 
4.8%
1291
 
4.5%
1591
 
4.5%
1182
 
4.1%
881
 
4.0%
Other values (34)1054
52.7%
ValueCountFrequency (%)
01
 
0.1%
121
1.1%
224
1.2%
320
1.0%
436
1.8%
ValueCountFrequency (%)
431
 
0.1%
422
 
0.1%
413
 
0.1%
405
0.2%
398
0.4%

feature_163
Real number (ℝ≥0)

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.512
Minimum4
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:28.829117image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile11
Q117
median22
Q326
95-th percentile32
Maximum37
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.329999245
Coefficient of variation (CV)0.2942543346
Kurtosis-0.446329573
Mean21.512
Median Absolute Deviation (MAD)5
Skewness0.008764814728
Sum43024
Variance40.06889045
MonotonicityNot monotonic
2023-11-06T23:17:29.074614image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
22156
 
7.8%
23138
 
6.9%
21120
 
6.0%
24119
 
5.9%
25112
 
5.6%
19108
 
5.4%
1797
 
4.9%
2792
 
4.6%
1584
 
4.2%
1483
 
4.2%
Other values (24)891
44.5%
ValueCountFrequency (%)
44
 
0.2%
54
 
0.2%
63
 
0.1%
75
0.2%
810
0.5%
ValueCountFrequency (%)
376
 
0.3%
3610
 
0.5%
3522
1.1%
3424
1.2%
3330
1.5%

feature_164
Real number (ℝ≥0)

Distinct46
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.301
Minimum0
Maximum45
Zeros19
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:29.340449image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median18
Q328
95-th percentile40
Maximum45
Range45
Interquartile range (IQR)19

Descriptive statistics

Standard deviation12.08529794
Coefficient of variation (CV)0.6261487973
Kurtosis-0.9683117828
Mean19.301
Median Absolute Deviation (MAD)10
Skewness0.2994134261
Sum38602
Variance146.0544262
MonotonicityNot monotonic
2023-11-06T23:17:29.625490image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2378
 
3.9%
1977
 
3.9%
1574
 
3.7%
867
 
3.4%
1667
 
3.4%
365
 
3.2%
665
 
3.2%
2461
 
3.0%
460
 
3.0%
1760
 
3.0%
Other values (36)1326
66.3%
ValueCountFrequency (%)
019
 
0.9%
148
2.4%
256
2.8%
365
3.2%
460
3.0%
ValueCountFrequency (%)
453
 
0.1%
4412
 
0.6%
4320
1.0%
4237
1.8%
4127
1.4%

feature_165
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.398
Minimum0
Maximum24
Zeros60
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:29.857029image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median10
Q314
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.355084917
Coefficient of variation (CV)0.5150110518
Kurtosis-0.567617505
Mean10.398
Median Absolute Deviation (MAD)3
Skewness-0.09876396504
Sum20796
Variance28.67693447
MonotonicityNot monotonic
2023-11-06T23:17:30.107588image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9192
 
9.6%
10177
 
8.8%
8162
 
8.1%
11154
 
7.7%
12152
 
7.6%
1103
 
5.1%
13102
 
5.1%
791
 
4.5%
1790
 
4.5%
1589
 
4.5%
Other values (15)688
34.4%
ValueCountFrequency (%)
060
3.0%
1103
5.1%
276
3.8%
356
2.8%
432
 
1.6%
ValueCountFrequency (%)
241
 
0.1%
233
 
0.1%
2214
0.7%
2125
1.2%
2028
1.4%

feature_166
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1565
Minimum0
Maximum21
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:30.341145image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q313
95-th percentile17
Maximum21
Range21
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.060515009
Coefficient of variation (CV)0.5526691431
Kurtosis-0.7808869853
Mean9.1565
Median Absolute Deviation (MAD)4
Skewness-0.01031425289
Sum18313
Variance25.60881216
MonotonicityNot monotonic
2023-11-06T23:17:30.557422image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11209
 
10.4%
12208
 
10.4%
13157
 
7.8%
10139
 
7.0%
1113
 
5.7%
3113
 
5.7%
4103
 
5.1%
8101
 
5.1%
9100
 
5.0%
297
 
4.9%
Other values (12)660
33.0%
ValueCountFrequency (%)
049
2.5%
1113
5.7%
297
4.9%
3113
5.7%
4103
5.1%
ValueCountFrequency (%)
218
 
0.4%
2027
1.4%
1937
1.8%
1825
 
1.2%
1763
3.1%

feature_167
Real number (ℝ≥0)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0065
Minimum0
Maximum18
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:30.757883image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.95
Q18
median10
Q312
95-th percentile15
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.752498115
Coefficient of variation (CV)0.2750710153
Kurtosis0.2204701557
Mean10.0065
Median Absolute Deviation (MAD)2
Skewness-0.09322506017
Sum20013
Variance7.576245873
MonotonicityNot monotonic
2023-11-06T23:17:30.958336image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9320
16.0%
10300
15.0%
8281
14.1%
11257
12.8%
13174
8.7%
12146
7.3%
7141
7.0%
14124
 
6.2%
1565
 
3.2%
652
 
2.6%
Other values (9)140
7.0%
ValueCountFrequency (%)
01
 
0.1%
13
 
0.1%
211
 
0.5%
320
1.0%
429
1.5%
ValueCountFrequency (%)
182
 
0.1%
179
 
0.4%
1629
 
1.5%
1565
3.2%
14124
6.2%

feature_168
Real number (ℝ≥0)

Distinct359
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.7755
Minimum64
Maximum536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:31.207002image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile161
Q1243
median287
Q3327
95-th percentile419.15
Maximum536
Range472
Interquartile range (IQR)84

Descriptive statistics

Standard deviation72.23544199
Coefficient of variation (CV)0.2518884702
Kurtosis0.3353437254
Mean286.7755
Median Absolute Deviation (MAD)42
Skewness0.1440078714
Sum573551
Variance5217.959079
MonotonicityNot monotonic
2023-11-06T23:17:31.661662image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30321
 
1.1%
30219
 
0.9%
25618
 
0.9%
28617
 
0.9%
28917
 
0.9%
29317
 
0.9%
26317
 
0.9%
31116
 
0.8%
27016
 
0.8%
31216
 
0.8%
Other values (349)1826
91.3%
ValueCountFrequency (%)
641
0.1%
721
0.1%
912
0.1%
951
0.1%
961
0.1%
ValueCountFrequency (%)
5361
0.1%
5221
0.1%
5121
0.1%
5031
0.1%
5021
0.1%

feature_169
Real number (ℝ≥0)

Distinct394
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.3285
Minimum93
Maximum604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:31.950664image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile185
Q1250
median301
Q3356
95-th percentile468
Maximum604
Range511
Interquartile range (IQR)106

Descriptive statistics

Standard deviation83.47686974
Coefficient of variation (CV)0.2707400378
Kurtosis0.2442714685
Mean308.3285
Median Absolute Deviation (MAD)52
Skewness0.5064672395
Sum616657
Variance6968.387782
MonotonicityNot monotonic
2023-11-06T23:17:32.299229image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31418
 
0.9%
27818
 
0.9%
31517
 
0.9%
27417
 
0.9%
30117
 
0.9%
31616
 
0.8%
28615
 
0.8%
33314
 
0.7%
26114
 
0.7%
27314
 
0.7%
Other values (384)1840
92.0%
ValueCountFrequency (%)
931
0.1%
951
0.1%
961
0.1%
1061
0.1%
1101
0.1%
ValueCountFrequency (%)
6041
0.1%
5951
0.1%
5821
0.1%
5781
0.1%
5581
0.1%

feature_170
Real number (ℝ≥0)

Distinct435
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean686.9865
Minimum477
Maximum1088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:32.602324image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum477
5-th percentile546
Q1603
median673
Q3755
95-th percentile883
Maximum1088
Range611
Interquartile range (IQR)152

Descriptive statistics

Standard deviation105.0768142
Coefficient of variation (CV)0.1529532447
Kurtosis0.02668851298
Mean686.9865
Median Absolute Deviation (MAD)74
Skewness0.6526736427
Sum1373973
Variance11041.13689
MonotonicityNot monotonic
2023-11-06T23:17:32.905720image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60814
 
0.7%
70613
 
0.7%
63113
 
0.7%
63213
 
0.7%
59112
 
0.6%
58712
 
0.6%
60212
 
0.6%
60012
 
0.6%
62312
 
0.6%
67711
 
0.5%
Other values (425)1876
93.8%
ValueCountFrequency (%)
4771
0.1%
4811
0.1%
4871
0.1%
4931
0.1%
4971
0.1%
ValueCountFrequency (%)
10881
0.1%
10811
0.1%
10571
0.1%
10491
0.1%
10321
0.1%

feature_171
Real number (ℝ≥0)

Distinct314
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean631.672
Minimum387
Maximum948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:33.230062image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum387
5-th percentile519
Q1581
median632
Q3678
95-th percentile742.05
Maximum948
Range561
Interquartile range (IQR)97

Descriptive statistics

Standard deviation68.81938295
Coefficient of variation (CV)0.1089479713
Kurtosis0.01442440763
Mean631.672
Median Absolute Deviation (MAD)48
Skewness0.1937958282
Sum1263344
Variance4736.10747
MonotonicityNot monotonic
2023-11-06T23:17:33.519200image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64520
 
1.0%
61319
 
0.9%
64319
 
0.9%
64117
 
0.9%
62816
 
0.8%
62916
 
0.8%
65515
 
0.8%
63015
 
0.8%
64415
 
0.8%
66415
 
0.8%
Other values (304)1833
91.6%
ValueCountFrequency (%)
3871
0.1%
4441
0.1%
4661
0.1%
4721
0.1%
4761
0.1%
ValueCountFrequency (%)
9481
0.1%
8831
0.1%
8771
0.1%
8711
0.1%
8351
0.1%

feature_172
Real number (ℝ≥0)

Distinct454
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.9585
Minimum479
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:33.851125image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum479
5-th percentile702
Q1892
median969
Q31019
95-th percentile1069
Maximum1179
Range700
Interquartile range (IQR)127

Descriptive statistics

Standard deviation109.9028621
Coefficient of variation (CV)0.1166748451
Kurtosis0.7265534587
Mean941.9585
Median Absolute Deviation (MAD)58
Skewness-1.073823789
Sum1883917
Variance12078.6391
MonotonicityNot monotonic
2023-11-06T23:17:34.141680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101020
 
1.0%
96618
 
0.9%
102917
 
0.9%
96116
 
0.8%
102616
 
0.8%
101716
 
0.8%
99015
 
0.8%
96415
 
0.8%
101115
 
0.8%
99814
 
0.7%
Other values (444)1838
91.9%
ValueCountFrequency (%)
4791
0.1%
5661
0.1%
5761
0.1%
5781
0.1%
5801
0.1%
ValueCountFrequency (%)
11791
0.1%
11781
0.1%
11721
0.1%
11511
0.1%
11451
0.1%

feature_173
Real number (ℝ≥0)

Distinct381
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757.069
Minimum508
Maximum994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:34.449478image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum508
5-th percentile603
Q1707
median771
Q3809
95-th percentile881
Maximum994
Range486
Interquartile range (IQR)102

Descriptive statistics

Standard deviation81.15755364
Coefficient of variation (CV)0.1071996788
Kurtosis0.0855531528
Mean757.069
Median Absolute Deviation (MAD)46
Skewness-0.4319844813
Sum1514138
Variance6586.548513
MonotonicityNot monotonic
2023-11-06T23:17:35.295862image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78522
 
1.1%
77122
 
1.1%
77621
 
1.1%
79419
 
0.9%
79518
 
0.9%
78318
 
0.9%
77317
 
0.9%
77916
 
0.8%
76916
 
0.8%
77216
 
0.8%
Other values (371)1815
90.8%
ValueCountFrequency (%)
5081
 
0.1%
5171
 
0.1%
5231
 
0.1%
5241
 
0.1%
5333
0.1%
ValueCountFrequency (%)
9941
0.1%
9881
0.1%
9851
0.1%
9821
0.1%
9711
0.1%

feature_174
Real number (ℝ≥0)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.492
Minimum0
Maximum44
Zeros12
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:35.806595image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median17
Q323
95-th percentile33
Maximum44
Range44
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.90143549
Coefficient of variation (CV)0.5088860902
Kurtosis-0.3507628308
Mean17.492
Median Absolute Deviation (MAD)6
Skewness0.2519560646
Sum34984
Variance79.23555378
MonotonicityNot monotonic
2023-11-06T23:17:36.074545image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
17138
 
6.9%
19118
 
5.9%
18113
 
5.7%
1686
 
4.3%
2185
 
4.2%
2283
 
4.2%
2083
 
4.2%
1575
 
3.8%
973
 
3.6%
562
 
3.1%
Other values (34)1084
54.2%
ValueCountFrequency (%)
012
 
0.6%
131
1.6%
230
1.5%
331
1.6%
438
1.9%
ValueCountFrequency (%)
441
 
0.1%
423
 
0.1%
419
0.4%
404
0.2%
396
0.3%

feature_175
Real number (ℝ≥0)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.505
Minimum0
Maximum38
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:36.408531image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q116
median21
Q325
95-th percentile31
Maximum38
Range38
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.846269839
Coefficient of variation (CV)0.3338829475
Kurtosis-0.1522934201
Mean20.505
Median Absolute Deviation (MAD)5
Skewness-0.1764236915
Sum41010
Variance46.87141071
MonotonicityNot monotonic
2023-11-06T23:17:36.727344image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
21127
 
6.3%
23120
 
6.0%
22111
 
5.5%
26108
 
5.4%
19107
 
5.3%
25105
 
5.2%
20103
 
5.1%
24100
 
5.0%
17100
 
5.0%
1899
 
5.0%
Other values (29)920
46.0%
ValueCountFrequency (%)
03
 
0.1%
14
 
0.2%
22
 
0.1%
38
0.4%
410
0.5%
ValueCountFrequency (%)
386
 
0.3%
376
 
0.3%
368
0.4%
3517
0.9%
3418
0.9%

feature_176
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.897
Minimum0
Maximum44
Zeros24
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:37.026295image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median16
Q325
95-th percentile39
Maximum44
Range44
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.58958801
Coefficient of variation (CV)0.6475715489
Kurtosis-0.770769682
Mean17.897
Median Absolute Deviation (MAD)8
Skewness0.477965612
Sum35794
Variance134.3185503
MonotonicityNot monotonic
2023-11-06T23:17:37.309450image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1891
 
4.5%
2080
 
4.0%
1677
 
3.9%
1973
 
3.6%
970
 
3.5%
1470
 
3.5%
1169
 
3.5%
668
 
3.4%
165
 
3.2%
864
 
3.2%
Other values (35)1273
63.6%
ValueCountFrequency (%)
024
 
1.2%
165
3.2%
254
2.7%
350
2.5%
456
2.8%
ValueCountFrequency (%)
443
 
0.1%
4311
 
0.5%
4217
0.9%
4130
1.5%
4034
1.7%

feature_177
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.277
Minimum0
Maximum17
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:37.554698image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median9
Q311
95-th percentile14
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.009451678
Coefficient of variation (CV)0.3243992322
Kurtosis-0.09832404278
Mean9.277
Median Absolute Deviation (MAD)2
Skewness-0.2231365856
Sum18554
Variance9.0567994
MonotonicityNot monotonic
2023-11-06T23:17:37.767602image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9288
14.4%
10262
13.1%
8234
11.7%
11217
10.8%
7192
9.6%
12186
9.3%
13129
6.5%
6110
 
5.5%
1495
 
4.8%
589
 
4.5%
Other values (8)198
9.9%
ValueCountFrequency (%)
03
 
0.1%
111
 
0.5%
225
1.2%
334
1.7%
461
3.0%
ValueCountFrequency (%)
175
 
0.2%
1618
 
0.9%
1541
 
2.1%
1495
4.8%
13129
6.5%

feature_178
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1315
Minimum0
Maximum21
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:38.026546image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q312
95-th percentile18
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.988852782
Coefficient of variation (CV)0.5463344228
Kurtosis-0.61034882
Mean9.1315
Median Absolute Deviation (MAD)3
Skewness0.1434151842
Sum18263
Variance24.88865208
MonotonicityNot monotonic
2023-11-06T23:17:38.252565image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11195
 
9.8%
10190
 
9.5%
12165
 
8.2%
9156
 
7.8%
5113
 
5.7%
4112
 
5.6%
8110
 
5.5%
7100
 
5.0%
1398
 
4.9%
397
 
4.9%
Other values (12)664
33.2%
ValueCountFrequency (%)
049
2.5%
183
4.2%
292
4.6%
397
4.9%
4112
5.6%
ValueCountFrequency (%)
2110
 
0.5%
2029
1.5%
1932
1.6%
1870
3.5%
1746
2.3%

feature_179
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7095
Minimum0
Maximum25
Zeros55
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:38.485909image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q314
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.871315519
Coefficient of variation (CV)0.6046980297
Kurtosis-0.6921941626
Mean9.7095
Median Absolute Deviation (MAD)4
Skewness0.3072010184
Sum19419
Variance34.47234592
MonotonicityNot monotonic
2023-11-06T23:17:38.900058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8172
 
8.6%
9135
 
6.8%
10126
 
6.3%
7116
 
5.8%
3113
 
5.7%
11110
 
5.5%
2107
 
5.3%
6105
 
5.2%
1101
 
5.1%
1298
 
4.9%
Other values (16)817
40.8%
ValueCountFrequency (%)
055
2.8%
1101
5.1%
2107
5.3%
3113
5.7%
473
3.6%
ValueCountFrequency (%)
252
 
0.1%
247
 
0.4%
2316
0.8%
2232
1.6%
2138
1.9%

feature_180
Real number (ℝ≥0)

Distinct499
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean358.7025
Minimum69
Maximum674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:39.213997image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile154
Q1262
median363
Q3449
95-th percentile557.05
Maximum674
Range605
Interquartile range (IQR)187

Descriptive statistics

Standard deviation123.6842063
Coefficient of variation (CV)0.3448099924
Kurtosis-0.6937760407
Mean358.7025
Median Absolute Deviation (MAD)94
Skewness-0.02322921762
Sum717405
Variance15297.78289
MonotonicityNot monotonic
2023-11-06T23:17:39.560824image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46613
 
0.7%
37013
 
0.7%
33312
 
0.6%
35712
 
0.6%
43712
 
0.6%
41811
 
0.5%
44111
 
0.5%
28011
 
0.5%
36911
 
0.5%
34710
 
0.5%
Other values (489)1884
94.2%
ValueCountFrequency (%)
691
0.1%
812
0.1%
822
0.1%
841
0.1%
892
0.1%
ValueCountFrequency (%)
6741
0.1%
6701
0.1%
6631
0.1%
6601
0.1%
6581
0.1%

feature_181
Real number (ℝ≥0)

Distinct402
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.4135
Minimum87
Maximum796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:39.893624image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile239.95
Q1332.75
median384
Q3441
95-th percentile527.05
Maximum796
Range709
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation85.69700407
Coefficient of variation (CV)0.2229292261
Kurtosis0.5560275709
Mean384.4135
Median Absolute Deviation (MAD)54
Skewness-0.1157366613
Sum768827
Variance7343.976506
MonotonicityNot monotonic
2023-11-06T23:17:40.173673image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33016
 
0.8%
44515
 
0.8%
34215
 
0.8%
34914
 
0.7%
39314
 
0.7%
39514
 
0.7%
37013
 
0.7%
35613
 
0.7%
42813
 
0.7%
41413
 
0.7%
Other values (392)1860
93.0%
ValueCountFrequency (%)
871
0.1%
991
0.1%
1021
0.1%
1031
0.1%
1131
0.1%
ValueCountFrequency (%)
7961
0.1%
6961
0.1%
6381
0.1%
6131
0.1%
6122
0.1%

feature_182
Real number (ℝ≥0)

Distinct540
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.6795
Minimum582
Maximum1334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:40.472785image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum582
5-th percentile655.95
Q1741
median847
Q3957
95-th percentile1090.1
Maximum1334
Range752
Interquartile range (IQR)216

Descriptive statistics

Standard deviation138.4763902
Coefficient of variation (CV)0.1618320763
Kurtosis-0.5389741078
Mean855.6795
Median Absolute Deviation (MAD)108
Skewness0.3360271024
Sum1711359
Variance19175.71064
MonotonicityNot monotonic
2023-11-06T23:17:40.755728image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76311
 
0.5%
90710
 
0.5%
99010
 
0.5%
100610
 
0.5%
80110
 
0.5%
97010
 
0.5%
9809
 
0.4%
7049
 
0.4%
9249
 
0.4%
7579
 
0.4%
Other values (530)1903
95.2%
ValueCountFrequency (%)
5821
0.1%
5841
0.1%
5891
0.1%
5921
0.1%
5951
0.1%
ValueCountFrequency (%)
13341
0.1%
12991
0.1%
12811
0.1%
12761
0.1%
12621
0.1%

feature_183
Real number (ℝ≥0)

Distinct416
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean885.601
Minimum588
Maximum1235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:41.208703image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum588
5-th percentile698.95
Q1833
median902
Q3951
95-th percentile1016
Maximum1235
Range647
Interquartile range (IQR)118

Descriptive statistics

Standard deviation95.77817355
Coefficient of variation (CV)0.1081504803
Kurtosis0.1082947432
Mean885.601
Median Absolute Deviation (MAD)55
Skewness-0.5770720861
Sum1771202
Variance9173.458528
MonotonicityNot monotonic
2023-11-06T23:17:41.522321image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93620
 
1.0%
91518
 
0.9%
93917
 
0.9%
93016
 
0.8%
91215
 
0.8%
89515
 
0.8%
90015
 
0.8%
92414
 
0.7%
95014
 
0.7%
91714
 
0.7%
Other values (406)1842
92.1%
ValueCountFrequency (%)
5881
0.1%
5991
0.1%
6121
0.1%
6141
0.1%
6161
0.1%
ValueCountFrequency (%)
12351
0.1%
11601
0.1%
11561
0.1%
11501
0.1%
11131
0.1%

feature_184
Real number (ℝ≥0)

Distinct460
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1141.5705
Minimum700
Maximum1314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:41.858187image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum700
5-th percentile891
Q11085.75
median1181
Q31232
95-th percentile1281
Maximum1314
Range614
Interquartile range (IQR)146.25

Descriptive statistics

Standard deviation122.9416339
Coefficient of variation (CV)0.1076951743
Kurtosis0.1911310283
Mean1141.5705
Median Absolute Deviation (MAD)62
Skewness-1.036407553
Sum2283141
Variance15114.64535
MonotonicityNot monotonic
2023-11-06T23:17:42.149148image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121717
 
0.9%
124416
 
0.8%
122516
 
0.8%
124116
 
0.8%
121515
 
0.8%
120015
 
0.8%
122415
 
0.8%
118715
 
0.8%
121014
 
0.7%
118114
 
0.7%
Other values (450)1847
92.3%
ValueCountFrequency (%)
7001
0.1%
7231
0.1%
7271
0.1%
7291
0.1%
7761
0.1%
ValueCountFrequency (%)
13141
 
0.1%
13111
 
0.1%
13101
 
0.1%
13093
0.1%
13061
 
0.1%

feature_185
Real number (ℝ≥0)

Distinct434
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.209
Minimum417
Maximum1061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:42.693512image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum417
5-th percentile507
Q1606
median640
Q3688
95-th percentile849
Maximum1061
Range644
Interquartile range (IQR)82

Descriptive statistics

Standard deviation92.3823228
Coefficient of variation (CV)0.1412122468
Kurtosis1.7012863
Mean654.209
Median Absolute Deviation (MAD)40
Skewness0.8630705307
Sum1308418
Variance8534.493566
MonotonicityNot monotonic
2023-11-06T23:17:43.029676image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62720
 
1.0%
63919
 
0.9%
60819
 
0.9%
61719
 
0.9%
62219
 
0.9%
62918
 
0.9%
63418
 
0.9%
63218
 
0.9%
61117
 
0.9%
61417
 
0.9%
Other values (424)1816
90.8%
ValueCountFrequency (%)
4171
0.1%
4191
0.1%
4301
0.1%
4331
0.1%
4371
0.1%
ValueCountFrequency (%)
10611
0.1%
10101
0.1%
10061
0.1%
9931
0.1%
9741
0.1%

feature_186
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.544
Minimum0
Maximum42
Zeros32
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:43.428839image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median19
Q326
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.05438259
Coefficient of variation (CV)0.5421906057
Kurtosis-0.9211903167
Mean18.544
Median Absolute Deviation (MAD)8
Skewness-0.0525287684
Sum37088
Variance101.0906093
MonotonicityNot monotonic
2023-11-06T23:17:43.751577image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2590
 
4.5%
2488
 
4.4%
2780
 
4.0%
979
 
4.0%
2879
 
4.0%
2374
 
3.7%
2970
 
3.5%
1567
 
3.4%
2666
 
3.3%
1963
 
3.1%
Other values (33)1244
62.2%
ValueCountFrequency (%)
032
1.6%
147
2.4%
242
2.1%
354
2.7%
445
2.2%
ValueCountFrequency (%)
422
 
0.1%
414
 
0.2%
4013
0.7%
3915
0.8%
3813
0.7%

feature_187
Real number (ℝ≥0)

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.15
Minimum0
Maximum43
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:44.071995image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median20
Q327
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.814269435
Coefficient of variation (CV)0.4167503279
Kurtosis-0.4037126067
Mean21.15
Median Absolute Deviation (MAD)6
Skewness0.3558412377
Sum42300
Variance77.69134567
MonotonicityNot monotonic
2023-11-06T23:17:44.365249image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
19128
 
6.4%
17109
 
5.5%
21103
 
5.1%
1695
 
4.8%
2092
 
4.6%
2290
 
4.5%
1587
 
4.3%
1884
 
4.2%
1475
 
3.8%
2471
 
3.5%
Other values (33)1066
53.3%
ValueCountFrequency (%)
03
 
0.1%
19
0.4%
22
 
0.1%
35
0.2%
57
0.4%
ValueCountFrequency (%)
431
 
0.1%
422
 
0.1%
4119
0.9%
4027
1.4%
3940
2.0%

feature_188
Real number (ℝ≥0)

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.968
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:44.756685image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q116
median24
Q330
95-th percentile41
Maximum46
Range44
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.21778731
Coefficient of variation (CV)0.4448705727
Kurtosis-0.6233247717
Mean22.968
Median Absolute Deviation (MAD)7
Skewness-0.04913138867
Sum45936
Variance104.4031776
MonotonicityNot monotonic
2023-11-06T23:17:45.165614image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2785
 
4.2%
2685
 
4.2%
2579
 
4.0%
2476
 
3.8%
2375
 
3.8%
2875
 
3.8%
3074
 
3.7%
2973
 
3.6%
2170
 
3.5%
1968
 
3.4%
Other values (35)1240
62.0%
ValueCountFrequency (%)
219
0.9%
325
1.2%
441
2.1%
525
1.2%
624
1.2%
ValueCountFrequency (%)
463
 
0.1%
455
 
0.2%
4420
1.0%
4328
1.4%
4237
1.8%

feature_189
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.674
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:45.438522image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.033715338
Coefficient of variation (CV)0.4650352015
Kurtosis-0.8843923579
Mean8.674
Median Absolute Deviation (MAD)3
Skewness-0.0922642728
Sum17348
Variance16.27085943
MonotonicityNot monotonic
2023-11-06T23:17:45.672206image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9257
12.8%
10212
10.6%
11171
 
8.6%
8141
 
7.0%
12140
 
7.0%
3140
 
7.0%
4131
 
6.6%
5127
 
6.3%
13112
 
5.6%
14102
 
5.1%
Other values (8)467
23.4%
ValueCountFrequency (%)
06
 
0.3%
138
 
1.9%
298
4.9%
3140
7.0%
4131
6.6%
ValueCountFrequency (%)
1712
 
0.6%
1669
3.5%
1576
3.8%
14102
5.1%
13112
5.6%

feature_190
Real number (ℝ≥0)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.1325
Minimum0
Maximum24
Zeros8
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:45.927716image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q315
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.388549154
Coefficient of variation (CV)0.4840376513
Kurtosis-0.8897569812
Mean11.1325
Median Absolute Deviation (MAD)4
Skewness-0.02277445918
Sum22265
Variance29.03646198
MonotonicityNot monotonic
2023-11-06T23:17:46.307944image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
12139
 
7.0%
10134
 
6.7%
14129
 
6.5%
11129
 
6.5%
13127
 
6.3%
16116
 
5.8%
15110
 
5.5%
3108
 
5.4%
8102
 
5.1%
4101
 
5.1%
Other values (15)805
40.2%
ValueCountFrequency (%)
08
 
0.4%
128
 
1.4%
257
2.9%
3108
5.4%
4101
5.1%
ValueCountFrequency (%)
241
 
0.1%
2310
 
0.5%
2220
1.0%
2133
1.7%
2045
2.2%

feature_191
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7835
Minimum0
Maximum24
Zeros102
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:46.538338image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q312
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.935001253
Coefficient of variation (CV)0.675698896
Kurtosis-0.6980032096
Mean8.7835
Median Absolute Deviation (MAD)4
Skewness0.3946267809
Sum17567
Variance35.22423987
MonotonicityNot monotonic
2023-11-06T23:17:46.776267image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9179
 
8.9%
1171
 
8.6%
8151
 
7.5%
7149
 
7.4%
10139
 
7.0%
2125
 
6.2%
11106
 
5.3%
0102
 
5.1%
389
 
4.5%
1284
 
4.2%
Other values (15)705
35.2%
ValueCountFrequency (%)
0102
5.1%
1171
8.6%
2125
6.2%
389
4.5%
472
3.6%
ValueCountFrequency (%)
242
 
0.1%
238
 
0.4%
2215
 
0.8%
2135
1.8%
2046
2.3%

feature_192
Real number (ℝ≥0)

Distinct445
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.4145
Minimum124
Maximum673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:47.042214image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile218.95
Q1331
median396
Q3468
95-th percentile564.05
Maximum673
Range549
Interquartile range (IQR)137

Descriptive statistics

Standard deviation102.0354708
Coefficient of variation (CV)0.2573959097
Kurtosis-0.3253930698
Mean396.4145
Median Absolute Deviation (MAD)68
Skewness-0.1039068861
Sum792829
Variance10411.23731
MonotonicityNot monotonic
2023-11-06T23:17:47.314692image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38914
 
0.7%
39513
 
0.7%
36213
 
0.7%
37913
 
0.7%
38413
 
0.7%
34613
 
0.7%
36012
 
0.6%
38312
 
0.6%
41312
 
0.6%
36512
 
0.6%
Other values (435)1873
93.7%
ValueCountFrequency (%)
1241
0.1%
1271
0.1%
1291
0.1%
1331
0.1%
1341
0.1%
ValueCountFrequency (%)
6731
0.1%
6631
0.1%
6581
0.1%
6442
0.1%
6431
0.1%

feature_193
Real number (ℝ≥0)

Distinct517
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean435.6885
Minimum121
Maximum793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:47.627937image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile256
Q1352
median424
Q3510.25
95-th percentile654
Maximum793
Range672
Interquartile range (IQR)158.25

Descriptive statistics

Standard deviation118.8567454
Coefficient of variation (CV)0.2728021176
Kurtosis0.06422686035
Mean435.6885
Median Absolute Deviation (MAD)78
Skewness0.3497384679
Sum871377
Variance14126.92593
MonotonicityNot monotonic
2023-11-06T23:17:48.004579image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40914
 
0.7%
50514
 
0.7%
32512
 
0.6%
33412
 
0.6%
48112
 
0.6%
32311
 
0.5%
38711
 
0.5%
40311
 
0.5%
41511
 
0.5%
53311
 
0.5%
Other values (507)1881
94.0%
ValueCountFrequency (%)
1211
0.1%
1271
0.1%
1391
0.1%
1411
0.1%
1421
0.1%
ValueCountFrequency (%)
7931
 
0.1%
7833
0.1%
7791
 
0.1%
7761
 
0.1%
7741
 
0.1%

feature_194
Real number (ℝ≥0)

Distinct474
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean849.6045
Minimum505
Maximum1234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:48.327897image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum505
5-th percentile672
Q1767
median848
Q3928
95-th percentile1036
Maximum1234
Range729
Interquartile range (IQR)161

Descriptive statistics

Standard deviation111.4679265
Coefficient of variation (CV)0.1311997835
Kurtosis-0.3253187949
Mean849.6045
Median Absolute Deviation (MAD)80.5
Skewness0.1237553742
Sum1699209
Variance12425.09863
MonotonicityNot monotonic
2023-11-06T23:17:48.658145image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92516
 
0.8%
79114
 
0.7%
95313
 
0.7%
76013
 
0.7%
91012
 
0.6%
76812
 
0.6%
89011
 
0.5%
90011
 
0.5%
78111
 
0.5%
92211
 
0.5%
Other values (464)1876
93.8%
ValueCountFrequency (%)
5051
0.1%
5641
0.1%
5671
0.1%
5721
0.1%
5841
0.1%
ValueCountFrequency (%)
12341
0.1%
12121
0.1%
12001
0.1%
11861
0.1%
11711
0.1%

feature_195
Real number (ℝ≥0)

Distinct458
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean821.236
Minimum601
Maximum1214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:49.006531image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum601
5-th percentile665.95
Q1730
median805.5
Q3901
95-th percentile1025
Maximum1214
Range613
Interquartile range (IQR)171

Descriptive statistics

Standard deviation112.7851921
Coefficient of variation (CV)0.1373359084
Kurtosis-0.5031355573
Mean821.236
Median Absolute Deviation (MAD)84.5
Skewness0.4574438592
Sum1642472
Variance12720.49955
MonotonicityNot monotonic
2023-11-06T23:17:49.316451image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67212
 
0.6%
76412
 
0.6%
71112
 
0.6%
71411
 
0.5%
80011
 
0.5%
75211
 
0.5%
72911
 
0.5%
76011
 
0.5%
71511
 
0.5%
75011
 
0.5%
Other values (448)1887
94.3%
ValueCountFrequency (%)
6011
0.1%
6031
0.1%
6081
0.1%
6131
0.1%
6141
0.1%
ValueCountFrequency (%)
12141
0.1%
11791
0.1%
11771
0.1%
11541
0.1%
11511
0.1%

feature_196
Real number (ℝ≥0)

Distinct255
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean632.5025
Minimum435
Maximum807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:49.787134image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum435
5-th percentile561
Q1601
median629
Q3659
95-th percentile721.1
Maximum807
Range372
Interquartile range (IQR)58

Descriptive statistics

Standard deviation48.49483342
Coefficient of variation (CV)0.07667137034
Kurtosis0.7911075336
Mean632.5025
Median Absolute Deviation (MAD)29
Skewness0.4895049803
Sum1265005
Variance2351.748868
MonotonicityNot monotonic
2023-11-06T23:17:50.378836image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60826
 
1.3%
64625
 
1.2%
61625
 
1.2%
62523
 
1.1%
61022
 
1.1%
63322
 
1.1%
62422
 
1.1%
57822
 
1.1%
62121
 
1.1%
63021
 
1.1%
Other values (245)1771
88.5%
ValueCountFrequency (%)
4351
0.1%
4641
0.1%
4741
0.1%
4781
0.1%
5041
0.1%
ValueCountFrequency (%)
8071
0.1%
8021
0.1%
7931
0.1%
7891
0.1%
7851
0.1%

feature_197
Real number (ℝ≥0)

Distinct463
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1122.968
Minimum761
Maximum1317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:50.976742image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum761
5-th percentile901
Q11027
median1158
Q31223
95-th percentile1268.05
Maximum1317
Range556
Interquartile range (IQR)196

Descriptive statistics

Standard deviation120.2633552
Coefficient of variation (CV)0.1070941961
Kurtosis-0.6579901652
Mean1122.968
Median Absolute Deviation (MAD)80
Skewness-0.6449525382
Sum2245936
Variance14463.27461
MonotonicityNot monotonic
2023-11-06T23:17:51.306041image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122720
 
1.0%
119716
 
0.8%
119915
 
0.8%
122315
 
0.8%
122214
 
0.7%
119014
 
0.7%
123514
 
0.7%
120814
 
0.7%
120914
 
0.7%
121313
 
0.7%
Other values (453)1851
92.5%
ValueCountFrequency (%)
7611
0.1%
7841
0.1%
7961
0.1%
7991
0.1%
8052
0.1%
ValueCountFrequency (%)
13171
0.1%
13121
0.1%
13101
0.1%
13041
0.1%
13022
0.1%

feature_198
Real number (ℝ≥0)

Distinct46
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.421
Minimum2
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:51.603007image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q115
median26
Q334
95-th percentile42
Maximum48
Range46
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.63668618
Coefficient of variation (CV)0.4765032627
Kurtosis-1.081354573
Mean24.421
Median Absolute Deviation (MAD)9
Skewness-0.1243818179
Sum48842
Variance135.4124652
MonotonicityNot monotonic
2023-11-06T23:17:51.920254image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3073
 
3.6%
4265
 
3.2%
3165
 
3.2%
3464
 
3.2%
3362
 
3.1%
2861
 
3.0%
2660
 
3.0%
2959
 
2.9%
2358
 
2.9%
858
 
2.9%
Other values (36)1375
68.8%
ValueCountFrequency (%)
27
 
0.4%
326
1.3%
436
1.8%
538
1.9%
644
2.2%
ValueCountFrequency (%)
481
 
0.1%
464
 
0.2%
456
 
0.3%
4432
1.6%
4343
2.1%

feature_199
Real number (ℝ≥0)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.72
Minimum2
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:52.203932image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median21
Q328
95-th percentile38
Maximum42
Range40
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.886173645
Coefficient of variation (CV)0.4091240168
Kurtosis-0.7026284975
Mean21.72
Median Absolute Deviation (MAD)6
Skewness0.227929386
Sum43440
Variance78.96408204
MonotonicityNot monotonic
2023-11-06T23:17:52.486036image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20104
 
5.2%
16104
 
5.2%
1790
 
4.5%
1887
 
4.3%
2284
 
4.2%
2384
 
4.2%
1983
 
4.2%
1581
 
4.0%
1478
 
3.9%
2174
 
3.7%
Other values (31)1131
56.5%
ValueCountFrequency (%)
21
 
0.1%
32
 
0.1%
44
 
0.2%
57
 
0.4%
633
1.7%
ValueCountFrequency (%)
424
 
0.2%
416
 
0.3%
4024
1.2%
3931
1.6%
3843
2.1%

feature_200
Real number (ℝ≥0)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.619
Minimum0
Maximum43
Zeros16
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:52.787348image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median22
Q330
95-th percentile37
Maximum43
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation10.85042418
Coefficient of variation (CV)0.5262342586
Kurtosis-1.06706285
Mean20.619
Median Absolute Deviation (MAD)9
Skewness-0.1020409637
Sum41238
Variance117.7317049
MonotonicityNot monotonic
2023-11-06T23:17:53.059547image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2688
 
4.4%
3085
 
4.2%
970
 
3.5%
867
 
3.4%
2967
 
3.4%
2566
 
3.3%
3166
 
3.3%
3264
 
3.2%
2461
 
3.0%
2258
 
2.9%
Other values (34)1308
65.4%
ValueCountFrequency (%)
016
 
0.8%
145
2.2%
233
1.7%
332
1.6%
442
2.1%
ValueCountFrequency (%)
431
 
0.1%
424
 
0.2%
4111
 
0.5%
4019
0.9%
3932
1.6%

feature_201
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.115
Minimum0
Maximum25
Zeros41
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:53.438869image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q313
95-th percentile18
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.113398911
Coefficient of variation (CV)0.5055263382
Kurtosis-0.5144771984
Mean10.115
Median Absolute Deviation (MAD)3
Skewness-0.08475487861
Sum20230
Variance26.14684842
MonotonicityNot monotonic
2023-11-06T23:17:53.920604image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10187
 
9.3%
9181
 
9.0%
11169
 
8.5%
12156
 
7.8%
8149
 
7.4%
13136
 
6.8%
1795
 
4.8%
1492
 
4.6%
1691
 
4.5%
189
 
4.5%
Other values (15)655
32.8%
ValueCountFrequency (%)
041
2.1%
189
4.5%
288
4.4%
383
4.2%
457
2.9%
ValueCountFrequency (%)
251
 
0.1%
236
 
0.3%
2210
0.5%
2115
0.8%
2018
0.9%

feature_202
Real number (ℝ≥0)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.9015
Minimum0
Maximum24
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:54.154018image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median13
Q316
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.462931394
Coefficient of variation (CV)0.3459234503
Kurtosis-0.1654097147
Mean12.9015
Median Absolute Deviation (MAD)3
Skewness-0.345520296
Sum25803
Variance19.91775663
MonotonicityNot monotonic
2023-11-06T23:17:54.419038image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
15200
 
10.0%
13179
 
8.9%
14175
 
8.8%
16158
 
7.9%
12158
 
7.9%
10147
 
7.3%
11141
 
7.0%
17128
 
6.4%
9104
 
5.2%
18102
 
5.1%
Other values (15)508
25.4%
ValueCountFrequency (%)
01
 
0.1%
16
 
0.3%
228
1.4%
329
1.5%
454
2.7%
ValueCountFrequency (%)
241
 
0.1%
2310
 
0.5%
2219
 
0.9%
2134
1.7%
2050
2.5%

feature_203
Real number (ℝ≥0)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0045
Minimum0
Maximum18
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:54.732008image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q311
95-th percentile14
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.567329908
Coefficient of variation (CV)0.3961719038
Kurtosis-0.6158378191
Mean9.0045
Median Absolute Deviation (MAD)2
Skewness-0.3528677093
Sum18009
Variance12.72584267
MonotonicityNot monotonic
2023-11-06T23:17:55.098288image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10261
13.1%
9258
12.9%
11251
12.6%
12173
8.6%
8166
8.3%
13148
7.4%
5123
6.2%
4120
 
6.0%
3107
 
5.3%
1493
 
4.7%
Other values (9)300
15.0%
ValueCountFrequency (%)
03
 
0.1%
119
 
0.9%
264
3.2%
3107
5.3%
4120
6.0%
ValueCountFrequency (%)
183
 
0.1%
173
 
0.1%
1619
 
0.9%
1558
2.9%
1493
4.7%

feature_204
Real number (ℝ≥0)

Distinct303
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.1185
Minimum144
Maximum534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:55.449118image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum144
5-th percentile236
Q1298
median348.5
Q3392
95-th percentile449
Maximum534
Range390
Interquartile range (IQR)94

Descriptive statistics

Standard deviation64.94422479
Coefficient of variation (CV)0.1881794943
Kurtosis-0.4406994273
Mean345.1185
Median Absolute Deviation (MAD)47.5
Skewness-0.1181510906
Sum690237
Variance4217.752334
MonotonicityNot monotonic
2023-11-06T23:17:55.852171image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38619
 
0.9%
37119
 
0.9%
31818
 
0.9%
35018
 
0.9%
40116
 
0.8%
39016
 
0.8%
35715
 
0.8%
29815
 
0.8%
43315
 
0.8%
33115
 
0.8%
Other values (293)1834
91.7%
ValueCountFrequency (%)
1441
0.1%
1541
0.1%
1651
0.1%
1661
0.1%
1731
0.1%
ValueCountFrequency (%)
5341
0.1%
5121
0.1%
5061
0.1%
5052
0.1%
4981
0.1%

feature_205
Real number (ℝ≥0)

Distinct330
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320.7825
Minimum145
Maximum565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:56.233569image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile225
Q1270
median310
Q3366
95-th percentile447
Maximum565
Range420
Interquartile range (IQR)96

Descriptive statistics

Standard deviation69.48709536
Coefficient of variation (CV)0.2166174756
Kurtosis0.05301534958
Mean320.7825
Median Absolute Deviation (MAD)46
Skewness0.576572041
Sum641565
Variance4828.456422
MonotonicityNot monotonic
2023-11-06T23:17:56.563958image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29622
 
1.1%
28721
 
1.1%
27718
 
0.9%
25217
 
0.9%
33016
 
0.8%
32016
 
0.8%
28016
 
0.8%
31316
 
0.8%
28316
 
0.8%
34515
 
0.8%
Other values (320)1827
91.3%
ValueCountFrequency (%)
1451
0.1%
1521
0.1%
1701
0.1%
1721
0.1%
1731
0.1%
ValueCountFrequency (%)
5651
0.1%
5571
0.1%
5561
0.1%
5501
0.1%
5481
0.1%

feature_206
Real number (ℝ≥0)

Distinct550
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.2215
Minimum445
Maximum1211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:56.889921image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum445
5-th percentile517
Q1608.75
median725
Q3836
95-th percentile971
Maximum1211
Range766
Interquartile range (IQR)227.25

Descriptive statistics

Standard deviation144.1962576
Coefficient of variation (CV)0.1982838209
Kurtosis-0.6892873056
Mean727.2215
Median Absolute Deviation (MAD)114
Skewness0.2318632364
Sum1454443
Variance20792.56072
MonotonicityNot monotonic
2023-11-06T23:17:57.205490image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84514
 
0.7%
81512
 
0.6%
64111
 
0.5%
77511
 
0.5%
53511
 
0.5%
61611
 
0.5%
5629
 
0.4%
7659
 
0.4%
6879
 
0.4%
7529
 
0.4%
Other values (540)1894
94.7%
ValueCountFrequency (%)
4451
 
0.1%
4521
 
0.1%
4531
 
0.1%
4572
0.1%
4583
0.1%
ValueCountFrequency (%)
12111
0.1%
11661
0.1%
11511
0.1%
11471
0.1%
11401
0.1%

feature_207
Real number (ℝ≥0)

Distinct472
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean642.191
Minimum425
Maximum1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:57.856907image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum425
5-th percentile478
Q1546
median626.5
Q3724.25
95-th percentile861.05
Maximum1012
Range587
Interquartile range (IQR)178.25

Descriptive statistics

Standard deviation118.5593045
Coefficient of variation (CV)0.1846168888
Kurtosis-0.4252837791
Mean642.191
Median Absolute Deviation (MAD)86.5
Skewness0.5212766167
Sum1284382
Variance14056.30867
MonotonicityNot monotonic
2023-11-06T23:17:58.419134image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52814
 
0.7%
49813
 
0.7%
65212
 
0.6%
58611
 
0.5%
67111
 
0.5%
54411
 
0.5%
59110
 
0.5%
70510
 
0.5%
58310
 
0.5%
59010
 
0.5%
Other values (462)1888
94.4%
ValueCountFrequency (%)
4251
0.1%
4301
0.1%
4321
0.1%
4341
0.1%
4371
0.1%
ValueCountFrequency (%)
10121
0.1%
10001
0.1%
9922
0.1%
9831
0.1%
9792
0.1%

feature_208
Real number (ℝ≥0)

Distinct292
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean641.2145
Minimum427
Maximum853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:58.741421image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum427
5-th percentile551
Q1606
median641
Q3673
95-th percentile738
Maximum853
Range426
Interquartile range (IQR)67

Descriptive statistics

Standard deviation56.58565594
Coefficient of variation (CV)0.08824762375
Kurtosis0.8574849759
Mean641.2145
Median Absolute Deviation (MAD)34
Skewness0.2479780792
Sum1282429
Variance3201.936458
MonotonicityNot monotonic
2023-11-06T23:17:59.035966image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64922
 
1.1%
63122
 
1.1%
66621
 
1.1%
65321
 
1.1%
67121
 
1.1%
67321
 
1.1%
64120
 
1.0%
61320
 
1.0%
65520
 
1.0%
63520
 
1.0%
Other values (282)1792
89.6%
ValueCountFrequency (%)
4271
0.1%
4501
0.1%
4631
0.1%
4671
0.1%
4831
0.1%
ValueCountFrequency (%)
8531
0.1%
8461
0.1%
8442
0.1%
8361
0.1%
8342
0.1%

feature_209
Real number (ℝ≥0)

Distinct391
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean687.381
Minimum461
Maximum1049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:59.339653image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum461
5-th percentile554.95
Q1638
median682
Q3735
95-th percentile833.1
Maximum1049
Range588
Interquartile range (IQR)97

Descriptive statistics

Standard deviation82.72577964
Coefficient of variation (CV)0.1203492381
Kurtosis0.8682500297
Mean687.381
Median Absolute Deviation (MAD)48
Skewness0.4669993047
Sum1374762
Variance6843.554616
MonotonicityNot monotonic
2023-11-06T23:17:59.646222image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67824
 
1.2%
68719
 
0.9%
65519
 
0.9%
67919
 
0.9%
64316
 
0.8%
68616
 
0.8%
68216
 
0.8%
67216
 
0.8%
69215
 
0.8%
69815
 
0.8%
Other values (381)1825
91.2%
ValueCountFrequency (%)
4611
0.1%
4621
0.1%
4671
0.1%
4701
0.1%
4751
0.1%
ValueCountFrequency (%)
10491
0.1%
10131
0.1%
10021
0.1%
9861
0.1%
9761
0.1%

feature_210
Real number (ℝ≥0)

Distinct30
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.766
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:17:59.941086image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q114
median18
Q322
95-th percentile27
Maximum30
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.236119983
Coefficient of variation (CV)0.2947270057
Kurtosis-0.1721908436
Mean17.766
Median Absolute Deviation (MAD)4
Skewness-0.1573085565
Sum35532
Variance27.41695248
MonotonicityNot monotonic
2023-11-06T23:18:00.246585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16175
 
8.8%
18150
 
7.5%
14139
 
7.0%
17135
 
6.8%
13130
 
6.5%
20127
 
6.3%
15125
 
6.2%
19120
 
6.0%
21116
 
5.8%
23107
 
5.3%
Other values (20)676
33.8%
ValueCountFrequency (%)
11
 
0.1%
22
 
0.1%
37
0.4%
411
0.5%
512
0.6%
ValueCountFrequency (%)
301
 
0.1%
2913
 
0.7%
2844
2.2%
2745
2.2%
2646
2.3%

feature_211
Real number (ℝ≥0)

Distinct38
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.584
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:18:00.605225image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q116
median23
Q327
95-th percentile35
Maximum38
Range37
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.982343196
Coefficient of variation (CV)0.3698268716
Kurtosis-0.6468428779
Mean21.584
Median Absolute Deviation (MAD)5
Skewness-0.243130468
Sum43168
Variance63.7178029
MonotonicityNot monotonic
2023-11-06T23:18:00.902809image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
24132
 
6.6%
26109
 
5.5%
28107
 
5.3%
25104
 
5.2%
27103
 
5.1%
2297
 
4.9%
2388
 
4.4%
2976
 
3.8%
2172
 
3.6%
2069
 
3.5%
Other values (28)1043
52.1%
ValueCountFrequency (%)
16
0.3%
27
0.4%
36
0.3%
47
0.4%
512
0.6%
ValueCountFrequency (%)
381
 
0.1%
3711
 
0.5%
3638
1.9%
3559
2.9%
3454
2.7%

feature_212
Real number (ℝ≥0)

Distinct36
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.612
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:18:01.208267image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q113
median18
Q321
95-th percentile28
Maximum36
Range35
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.884451494
Coefficient of variation (CV)0.3341160285
Kurtosis0.1560172036
Mean17.612
Median Absolute Deviation (MAD)4
Skewness0.2905954943
Sum35224
Variance34.62676938
MonotonicityNot monotonic
2023-11-06T23:18:01.587055image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
18173
 
8.6%
19170
 
8.5%
20139
 
7.0%
21134
 
6.7%
16109
 
5.5%
17106
 
5.3%
15102
 
5.1%
1497
 
4.9%
1395
 
4.8%
1294
 
4.7%
Other values (26)781
39.1%
ValueCountFrequency (%)
11
 
0.1%
21
 
0.1%
33
 
0.1%
42
 
0.1%
510
0.5%
ValueCountFrequency (%)
361
 
0.1%
3510
0.5%
3417
0.9%
339
0.4%
3213
0.7%

feature_213
Real number (ℝ≥0)

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.968
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:18:01.819061image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q110
median12
Q314
95-th percentile16
Maximum18
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.579787521
Coefficient of variation (CV)0.2155571124
Kurtosis-0.7458463478
Mean11.968
Median Absolute Deviation (MAD)2
Skewness0.07528338193
Sum23936
Variance6.655303652
MonotonicityNot monotonic
2023-11-06T23:18:02.036731image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10294
14.7%
11266
13.3%
12248
12.4%
13226
11.3%
9208
10.4%
14197
9.8%
15193
9.7%
16154
7.7%
896
 
4.8%
750
 
2.5%
Other values (5)68
 
3.4%
ValueCountFrequency (%)
42
 
0.1%
52
 
0.1%
66
 
0.3%
750
2.5%
896
4.8%
ValueCountFrequency (%)
189
 
0.4%
1749
 
2.5%
16154
7.7%
15193
9.7%
14197
9.8%

feature_214
Real number (ℝ≥0)

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.7045
Minimum5
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:18:02.252219image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q112
median14
Q315
95-th percentile17
Maximum19
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.985485035
Coefficient of variation (CV)0.1448783272
Kurtosis-0.03258890092
Mean13.7045
Median Absolute Deviation (MAD)1
Skewness-0.3437759433
Sum27409
Variance3.942150825
MonotonicityNot monotonic
2023-11-06T23:18:02.452847image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14376
18.8%
13350
17.5%
15344
17.2%
12266
13.3%
16239
11.9%
11156
7.8%
17143
 
7.1%
1079
 
4.0%
925
 
1.2%
188
 
0.4%
Other values (5)14
 
0.7%
ValueCountFrequency (%)
51
 
0.1%
62
 
0.1%
73
 
0.1%
87
 
0.4%
925
1.2%
ValueCountFrequency (%)
191
 
0.1%
188
 
0.4%
17143
7.1%
16239
11.9%
15344
17.2%

feature_215
Real number (ℝ≥0)

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.4525
Minimum0
Maximum23
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:18:02.687254image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median15
Q317
95-th percentile19
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.637186162
Coefficient of variation (CV)0.3447081332
Kurtosis0.6063175886
Mean13.4525
Median Absolute Deviation (MAD)3
Skewness-1.056880392
Sum26905
Variance21.5034955
MonotonicityNot monotonic
2023-11-06T23:18:03.006585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
17257
12.8%
16242
12.1%
18198
9.9%
15191
9.6%
13161
8.1%
14126
 
6.3%
12118
 
5.9%
11117
 
5.9%
19110
 
5.5%
10105
 
5.2%
Other values (14)375
18.8%
ValueCountFrequency (%)
018
0.9%
136
1.8%
237
1.8%
334
1.7%
427
1.4%
ValueCountFrequency (%)
231
 
0.1%
221
 
0.1%
216
 
0.3%
2031
 
1.6%
19110
5.5%

feature_label
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros200
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-06T23:18:03.301919image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.872999663
Coefficient of variation (CV)0.6384443696
Kurtosis-1.224302538
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum9000
Variance8.254127064
MonotonicityIncreasing
2023-11-06T23:18:03.518552image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9200
10.0%
8200
10.0%
7200
10.0%
6200
10.0%
5200
10.0%
4200
10.0%
3200
10.0%
2200
10.0%
1200
10.0%
0200
10.0%
ValueCountFrequency (%)
0200
10.0%
1200
10.0%
2200
10.0%
3200
10.0%
4200
10.0%
ValueCountFrequency (%)
9200
10.0%
8200
10.0%
7200
10.0%
6200
10.0%
5200
10.0%